Face recognition depends upon the uniqueness of each human face. This is accomplished by the patterns formed by the unique relationship among face features. Unique face-patterns are produced by the intrusion of random factors into the process of biological growth and development. Processes are described which enable a unique face-pattern to be represented as a percept in the visual sensory system. The components of the face recognition system are analyzed as (...) is the manner in which the precept is connected through microcircuits to a memory file so that the history of a perceiver’s encounters with a familiar face enables the perceiver to access a memory store that is a record of the outcome of past encounters with the perceived. The importance of the face recognition system in enabling humans to individuate members the social group is discussed, as well as the importance of face recognition in the development of the individual’s social identity and ability to be a collaborative member of the social groups to which it belongs. The role of prosopagnosia—the inability to recognize familiar faces—in furthering an understanding of the face recognition system is examined, as is its importance in demonstrating the crucial nature of face recognition in human social functions. It is proposed that human face recognition is not a unique phenomenon but is an elaboration of processes existing in nonhuman primates as well as in lower animals. (shrink)

Face recognition is a computationally challenging classification task. Deep convolutional neural networks (DCNNs) are brain‐inspired algorithms that have recently reached human‐level performance in face and object recognition. However, it is not clear to what extent DCNNs generate a human‐like representation of face identity. We have recently revealed a subset of facial features that are used by humans for face recognition. This enables us now to ask whether DCNNs rely on the same facial information (...) and whether this human‐like representation depends on a system that is optimized for face identification. In the current study, we examined the representation of DCNNs of faces that differ in features that are critical or non‐critical for human face recognition. Our findings show that DCNNs optimized for face identification are tuned to the same facial features used by humans for face recognition. Sensitivity to these features was highly correlated with performance of the DCNN on a benchmark face recognition task. Moreover, sensitivity to these features and a view‐invariant face representation emerged at higher layers of a DCNN optimized for face recognition but not for object recognition. This finding parallels the division to a face and an object system in high‐level visual cortex. Taken together, these findings validate human perceptual models of face recognition, enable us to use DCNNs to test predictions about human face and object recognition as well as contribute to the interpretability of DCNNs. (shrink)

People recognize faces of their own race more accurately than faces of other races. The “contact” hypothesis suggests that this “other‐race effect” occurs as a result of the greater experience we have with own‐ versus other‐race faces. The computational mechanisms that may underlie different versions of the contact hypothesis were explored in this study. We replicated the other‐race effect with human participants and evaluated four classes of computational face recognition algorithms for the presence of an other‐race effect. Consistent (...) with the predictions of a developmental contact hypothesis, “experience‐based models” demonstrated an other‐race effect only when the representational system was developed through experience that warped the perceptual space in a way that was sensitive to the overall structure of the model's experience with faces of different races. When the model's representation relied on a feature set optimized to encode the information in the learned faces, experience‐based algorithms recognized minority‐race faces more accurately than majority‐race faces. The results suggest a developmental learning process that warps the perceptual space to enhance the encoding of distinctions relevant for own‐race faces. This feature space limits the quality of face representations for other‐race faces. (shrink)

In the context of coronavirus pandemic, the face-recognition-based access control system has been intensively adopted to protect students’ and teachers’ health and safety in school. However, the impact of FACS, as a new technology, on students’ attitude toward accepting FACS has remained unknown from the psychological halo effect. Drawn on “halo effect” theory where psychological effects affect the sense of social identity and belonging, the present study explored college students’ sense of school identity and belonging in using (...) FACS during COVID-19 based on the technology acceptance model. Data collected from 391 college students was analyzed using SEM to verify the relationship among perceived usefulness, perceived ease of use, intention to use, school identity, and school belonging. The results show that PU and PEU can positively predict IU, and consequentially can positively predict school identity and school belonging. Our study expands the application of halo effect theory to study FACS acceptance based on TAM, and provides strong evidence to support the effect of school FACS during the pandemic. The findings of this study also suggest that FACS acceptance can enhance students’ sense of school identity and belonging. (shrink)

Two types of variables impact face recognition: estimator variables that cannot be controlled and system variables that are under direct control by the criminal justice system. This article addresses some of the reasons that eyewitnesses are prone to making errors, particularly false identifications. It provides a discussion of the differences between typical facial memory and eyewitness studies and shows that the two areas generally find similar results. It reviews estimator variable effects and focuses on system (...) variables. Traditional facial recognition researchers rarely study system variables but reveal important factors that police and policy makers should consider with regard to eyewitness identification and the courts. It concludes that there is still room for considerable improvement in identification procedures and wants to encourage more system variable research as a means of reducing wrongful convictions. (shrink)

Face recognition is one of the core and challenging issues in computer vision field. Compared to computer vision, human visual system can identify a target from complex backgrounds quickly and accurately. This paper proposes a new network model deriving from Where-What Networks (WWNs), which can approximately simulate the information processing pathways (i.e., dorsal pathway and ventral pathway) of human visual cortex and recognize different types of faces with different locations and sizes in complex background. To enhance the (...) recognition performance, synapse maintenance mechanism and neuron regenesis mechanism are both introduced. Synapse maintenance is used to reduce the background interference while neuron regenesis mechanism is introduced to regulate the neuron resource dynamically to improve the network usage efficiency. Experiments have been conducted on human face images of 5 types, 11 sizes, and 225 locations in complex backgrounds. Experiment results demonstrate that the proposed WWN model can basically learn three concepts (type, location and size) simultaneously. The experiment results also show the advantages of the enhanced WWN-7 model for face recognition in comparison with several existing methods. (shrink)

In this article I analyse the hidden genealogical link between portrait photography, used for criminological and psychiatric purposes, and contemporary systems of biometric identification of the human face. The aim is to highlight the shift between the emphasis on the importance of the human ‘expert eye’ in recognizing the face when talking about nineteenth-century photography and the use of computer technology that produces and reads digital facial images. In both cases, however, these are modes and variants of reducing (...) and flattening the human face; the face itself disappears under the onslaught of technologies of vision and mediation, becoming a mere data set. Special attention is devoted to the pose, the frontal view, which is the technological a priori of the empirical possibility of recognition, articulated through the history of visualization of the face from early portrait photography to facial recognition systems. Consequently, what we call the ‘face’ is a simulacra of individual the face presented to the apparatus: the ‘real’ face is transposed upon multiple technological layers (camera – plates – photographic surface), losing its characteristic features to be re-written according to specific techniques of measurement. (shrink)

To optimize the weak robustness of traditional face recognition algorithms, the classification accuracy rate is not high, the operation speed is slower, so a face recognition algorithm based on local binary pattern and stacked autoencoder is proposed. The advantage of LBP texture structure feature of the face image as the initial feature of sparse autoencoder learning, use the unified mode LBP operator to extract the histogram of the blocked face image, connect to form the (...) LBP features of the entire image. It is used as input of the stacked AE, feature extraction is done, realize the recognition and classification of face images. Experimental results show that the recognition rate of the algorithm LBP-SAE on the Yale database has achieved 99.05%, and it further shows that the algorithm has a higher recognition rate than the classic face recognition algorithm; it has strong robustness to light changes. Experimental results on the Olivetti Research Laboratory library shows that the developed method is more robust to light changes and has better recognition effects compared to traditional face recognition algorithms and standard stack AEs. (shrink)

This essay examines ethical aspects of the use of facial recognition technology for surveillance purposes in public and semipublic areas, focusing particularly on the balance between security and privacy and civil liberties. As a case study, the FaceIt facial recognition engine of Identix Corporation will be analyzed, as well as its use in “Smart” video surveillance systems in city centers and airports. The ethical analysis will be based on a careful analysis of current facial recognition technology, of (...) its use in Smart CCTV systems, and of the arguments used by proponents and opponents of such systems. It will be argued that Smart CCTV, which integrates video surveillance technology and biometric technology, faces ethical problems of error, function creep and privacy. In a concluding section on policy, it will be discussed whether such problems outweigh the security value of Smart CCTV in public places. (shrink)

Simulation process and mirroring mechanism appear to be necessary to the recognition of emotional facial expressions. Prefrontal areas were found to support this simulation mechanism. The present research analyzed the role of premotor area in processing emotional faces with different valence , considering both conscious and unconscious pathways. High-frequency rTMS stimulation was applied to prefrontal area to induce an activation response when overt and covert processing was implicated. Twenty-two subjects were asked to detect emotion/no emotion . Error rates and (...) response times were considered in response to the experimental conditions. ERs and RTs decreased in case of premotor brain activation, specifically in response to fear, for both conscious and unconscious condition. The present results highlight the role of the premotor system for facial expression processing, supporting the existence of two analogous mechanisms for conscious and unconscious condition. (shrink)

The use of computational models for understanding human face perception and recognition has a long and intriguing history that runs parallel to efforts in the engineering literature to develop algorithms for computer-based face recognition systems. This article considers the insights gained from combining computational and cognitive approaches to the study of human face recognition and discusses the ways in which computational models have informed studies of human face processing and vice versa. It explains (...) the concept of a face space, in its abstract psychological, and physical/computational forms. The study shows how adaptation as a method is beginning to reveal properties of neural representations in a way that connects with the cognitive/perceptual approach. Finally, it discusses recent progress in state-of-the-art computational models of face recognition, which offers a new perspective on the cognitive-computational dialog. (shrink)

The use of facial recognition systems in concerts provides a perfect pretext to semiotically discuss the role of the face in contemporary culture, identifying different strategies and axiologies (systems of values). In his visionary essay Bruits (“noises”) from 1977, the French thinker Jacques Attali establishes a close connection between music and power and locates it in the site of the collective unfolding of music: the concert hall. Following this hint, the article reconstructs the current debate on facial (...) class='Hi'>recognition systems in the music business, with a particular focus on concerts and festivals. The different positions (of musicians, authorities, and professionals) are outlined (some are openly in favor, others openly against), key moments are identified (Beyoncé’s concert in Cardiff, 2017; Jacky Cheung’s in Nanchang, 2018; Taylor Swift’s at the Rose Bowl in Pasadena, 2018; the “banfacialrecognition.com” campaign launched in 2019; the case of Barbara Hart at Brandi Carlile’s show at the Madison Square Garden, 2022) and, finally, the issue is framed within the broader debate about the face as an indexical marker of presence, identity, and humanity (the contrast between Italian philosopher Giorgio Agamben and American sociologist and design theorist Benjamin Bratton is addressed). (shrink)

Perceiving and recognizing others via their faces is of pivotal importance. The ability to perceive others in the environment – to discern between friends and foes, selves and others – as well as to detect and seek to predict their possible moves, plans, and intentions, is a set of skills that has proved to be essential in the evolutionary history of humankind. The aim of this study is to explore the subject of face recognition as a semiotic phenomenon. (...) The scope of this inquiry is limited to face perception by the human species. The human face is analysed on the threshold between biological processes and cultural processes. We argue that the recognition of likenesses has a socio-cultural dimension that should not be overlooked. By drawing on Georg Lichtenberg’s remarks on physiognomy, we discuss the critique of the semiotic bias, the association of ideas, and the mechanism of typification involved in face recognition. Face typification is discussed against the background of face recognition and face identification. We take them as three gradients of meaning that map out a network of relationships concerning different cognitive operations that are at stake when dealing with the recognition of faces. (shrink)

Face detection plays important roles in many applications such as human–computer interaction, security and surveillance, face recognition, etc. This article presents an intelligent enhanced fused approach for face recognition based on the Voronoi diagram and wavelet moment invariants. Discrete wavelet transform and moment invariants are used for feature extraction of the facial face. Finally, VD and the dual tessellation are used to locate and detect original face images. Face recognition results based (...) on this new fusion are promising in the state of the art. (shrink)

The QR code recognition often faces the challenges of uneven background fluctuations, inadequate illuminations, and distortions due to the improper image acquisition method. This makes the identification of QR codes difficult, and therefore, to deal with this problem, artificial intelligence-based systems came into existence. To improve the recognition rate of QR image codes, this article adopts an improved adaptive median filter algorithm and a QR code distortion correction method based on backpropagation (BP) neural networks. This combination of artificial (...) intelligence algorithms is capable of fitting the distorted QR image into the geometric deformation pattern, and QR code recognition is accomplished. The two-dimensional code distortion is addressed in this study, which was a serious research issue in the existing software systems. The research outcomes obtained after emphasizing on the preprocessing stage of the image revealed that a significant improvement of 14% is observed for the reading rate of QR image code, after processing by the system algorithm in this article. The artificial intelligence algorithm adopted has a certain effect in improving the recognition rate of the two-dimensional code image. (shrink)

This paper is divided into two parts. Part I focuses on the manner in which the components of the face recognition system work together so that a perceiver, within several hundred milliseconds after seeing a familiar face, is able to both identify the face of the perceived and recall elements of the history of past encounters with the perceived. Face recognition plays a crucial role in enabling both human and nonhuman primates to interact (...) in collaborative social groups. This critical function is accomplished through the unidirectional coded transfer of informational elements from one component to another. Although these informational elements themselves are not meaningful to the perceiving agent, they do nevertheless contain essential bits of information that are necessary for the final formation of the meaningful message. The structural components of the system are identified and the manner in which informational elements are coded and transferred sequentially from component to component in the brain of the perceiver is described. The independent, physically separated components in the face recognition system are bridged by an additional component, an “adaptor”, that mediates the transfer of informational elements from one component to another. The nature of the independent systems, and the manner by which the bridging or adaptor apparatus enables coded information transfer from one system to another is discussed. Part II focuses on the analysis of recognition in human-designed sign systems such as Braille and Morse code. Recognition in human-designed sign systems is notable for the stability of the link between sign and meaning. Face recognition is characterized as being subjective, indicating that the meaning of a sign to a perceiver is variable and dependent on context, whereas human-devised sign recognition is characterized as being objective, indicating that the meaning of a sign is context independent and invariant. Human-designed sign systems require the presence in brain of a referent world. An example of a referent world is the set of letters of the alphabet. Representations of this set are installed in the brain through social mediated learning. Human-designed sets of signs are created to correspond, via a code enabling adaptor structure, to referent worlds in the brain. Human-designed sign systems are the foundations for literacy, a capability only found in humans. (shrink)

Call a bit of scientific discourse a description of a missing system when (i) it has the surface appearance of an accurate description of an actual, concrete system (or kind of system) from the domain of inquiry, but (ii) there are no actual, concrete systems in the world around us fitting the description it contains, and (iii) that fact is recognised from the outset by competent practitioners of the scientific discipline in question. Scientific textbooks, classroom lectures, and (...) journal articles abound with such passages; and there is a widespread practice of talking and thinking as though there are systems which fit the descriptions they contain perfectly, despite the recognition that no actual, concrete systems do so—call this the face value practice. There are, furthermore, many instances in which philosophers engage in the face value practice whilst offering answers to epistemological and methodological questions about the sciences. Three questions, then: (1) How should we interpret descriptions of missing systems? (2) How should we make sense of the face value practice? (3) Is there a set of plausible answers to (1) and (2) which legitimates reliance on the face value practice in our philosophical work, and can support the weight of the accounts which are entangled with that practice? In this paper I address these questions by considering three answers to the first: that descriptions of missing systems are straightforward descriptions of abstract objects, that they are indirect descriptions of “property-containing” abstracta, and that they are (in a different way) indirect descriptions of mathematical structures. All three proposals are present in the literature, but I find them wanting. The result is to highlight the importance of developing a satisfactory understanding of descriptions of missing systems and the face value practice, to put pressure on philosophical accounts which rely on the practice, and to help us assess the viability of certain approaches to thinking about models, theory structure, and scientific representation. (shrink)

Face perception, perhaps the most highly developed visual skill in humans, is mediated by a distributed neural system in humans that is comprised of multiple, bilateral regions. We propose a model for the organization of this system that emphasizes a distinction between the representation of invariant and changeable aspects of faces. The representation of invariant aspects of faces underlies the recognition of individuals, whereas the representation of changeable aspects of faces, such as eye gaze, expression, and (...) lip movement, underlies the perception of information that facilitates social communication. The model is also hierarchical insofar as it is divided into a core system and an extended system. The core system is comprised of occipitotemporal regions in extrastriate visual cortex that mediate the visual analysis of faces. In the core system, the representation of invariant aspects is mediated more by the face-responsive region in the fusiform gyrus, whereas the representation of changeable aspects is mediated more by the face-responsive region in the superior temporal sulcus. The extended system is comprised of regions from neural systems for other cognitive functions that can be recruited to act in concert with the regions in the core system to extract meaning from faces. (shrink)

Face perception plays a central role in social communication and is, arguably, one of the most sophisticated visual perceptual skills in humans. The organization of neural systems for face perception has stimulated intense debate. This article presents an updated model of distributed human neural systems for face perception. It opens up with a discussion of the Core System for visual analysis of faces with an emphasis on the distinction between perception of invariant features for identity (...) class='Hi'>recognition and changeable features for recognition of facial gestures such as expression and eye gaze. The study analyses the roles of systems for the representation of emotion, for person knowledge, and for action understanding in face recognition and perception of expression and gaze. It presents systems that are of particular relevance for social communication and that are illustrative of how distributed systems are engaged by face perception. It concludes with a discussion of modularity and distributed processing in neural representation. (shrink)

Through computational modeling, here we examine whether visual and task characteristics of writing systems alone can account for lateralization differences in visual word recognition between different languages without assuming influence from left hemisphere (LH) lateralized language processes. We apply a hemispheric processing model of face recognition to visual word recognition; the model implements a theory of hemispheric asymmetry in perception that posits low spatial frequency biases in the right hemisphere and high spatial frequency (HSF) biases in (...) the LH. We show two factors that can influence lateralization: (a) Visual similarity among words: The more similar the words in the lexicon look visually, the more HSF/LH processing is required to distinguish them, and (b) Requirement to decompose words into graphemes for grapheme-phoneme mapping: Alphabetic reading (involving grapheme-phoneme conversion) requires more HSF/LH processing than logographic reading (no grapheme-phoneme mapping). These factors may explain the difference in lateralization between English and Chinese orthographic processing. (shrink)

In DR Congo, there is a proliferation of fictions and spoken word texts that addresses aspects of the on-going conflict. Fiction in Congo does not concern itself with the rules of literary orthodoxy (verisimilitude, linguistic correctness, references), nor does it rely on the existence of a literary and editorial system that is structured and operating to guarantee a predetermined readership. Its main objective is to express emotions in an aesthetic way that touches the hearts of readers and spectators. However, (...) the primary motivation for these proliferating literary initiatives is to resonate in the social space of the place from which they originate. In this respect, the productions examined here are ordinary aesthetic creations distilled through the alembic of everyday existence. Beginning with the observation of a profusion of love stories in the literature produced in the Congo during the last quarter-century, I demonstrate how the particular orientation of these contemporary love fictions responds to societal objectives regarding social cohesion and crisis management, particularly the call for resilience. I then analyse how the issues involved in this injunction are related to care, which is presented as the only possible, acceptable, and even desirable path in this context of violence. (shrink)

In face recognition systems, highly robust facial feature representation and good classification algorithm performance can affect the effect of face recognition under unrestricted conditions. To explore the anti-interference performance of convolutional neural network reconstructed by deep learning framework in face image feature extraction and recognition, in the paper, first, the inception structure in the GoogleNet network and the residual error in the ResNet network structure are combined to construct a new deep reconstruction network algorithm, (...) with the random gradient descent and triplet loss functions as the model optimizer and classifier, respectively, and it is applied to the face recognition in Labeled Faces in the Wild face database. Then, the portrait pyramid segmentation and local feature point segmentation are applied to extract the features of face images, and the matching of face feature points is achieved using Euclidean distance and joint Bayesian method. Finally, Matlab software is used to simulate the algorithm proposed in this paper and compare it with other algorithms. The results show that the proposed algorithm has the best face recognition effect when the learning rate is 0.0004, the attenuation coefficient is 0.0001, the training method is SGD, and dropout is 0.1, and the algorithm proposed in this paper has the largest mean average precision compared to other CNN algorithms. The correct rate of face feature matching of the algorithm proposed in this paper is 84.72%, which is higher than LetNet-5, VGG-16, and VGG-19 algorithms, the correct rates of which are 6.94%, 2.5%, and 1.11%, respectively, but lower than GoogleNet, AlexNet, and ResNet algorithms. At the same time, the algorithm proposed in this paper has a faster matching time and a higher correct matching rate than the joint Bayesian method, indicating that the deep reconstruction network algorithm proposed in this paper can be used in face image recognition, FE, and matching, and it has strong anti-interference. (shrink)

What role does experience play in the development of face recognition? A growing body of evidence indicates that newborn brains need slowly changing visual experiences to develop accurate visual recognition abilities. All of the work supporting this “slowness constraint” on visual development comes from studies testing basic‐level object recognition. Here, we present the results of controlled‐rearing experiments that provide evidence for a slowness constraint on the development of face recognition, a prototypical subordinate‐level object (...) class='Hi'>recognition task. We found that (1) newborn chicks can rapidly develop view‐invariant face recognition and (2) the development of this ability relies on experience with slowly moving faces. When chicks were reared with quickly moving faces, they built distorted face representations that largely lacked invariance to viewpoint changes, effectively “breaking” their face recognition abilities. These results provide causal evidence that slowly changing visual experiences play a critical role in the development of face recognition, akin to basic‐level object recognition. Thus, face recognition is not a hardwired property of vision but is learned rapidly as the visual system adapts to the temporal structure of the animal's visual environment. (shrink)

Faces are complex stimuli that can be described via intuitive facial features like the eyes, nose, and mouth, “configural” features like the distances between facial landmarks, and features that correspond to computations performed in the early visual system (e.g. oriented edges). With regard to this latter category of descriptors, adult face recognition relies disproportionately on information in specific spatial frequency and orientation bands: Many recognition tasks are performed more accurately when adults have access to mid-range spatial (...) frequencies (8-16 cycles/face) and horizontal orientations (Dakin & Watt, 2009). In the current study, we examined how this information bias develops in middle childhood. We recruited children between the ages of 5-10 years old to participate in a simple categorization task that required them to label images according to whether they depicted a face or a house. Critically, children were presented with face and house images comprised either of primarily horizontal orientation energy, primarily vertical orientation energy, or both horizontal and vertical orientation energy. We predicted that any bias favoring horizontal information over vertical should be more evident in faces than in houses, and also that older children would be more likely to show such a bias than younger children. We designed our categorization task to be sufficiently easy that children would perform at near-ceiling accuracy levels, but with variation in response times that would reflect how they rely on different orientations as a function of age and object category. We found that horizontal bias for face detection (but not house detection) correlated significantly with age, suggesting an emergent category-specific bias for horizontal orientation energy that develops during middle childhood. These results thus suggest that the tuning of high-level recognition to specific low-level visual features takes take place over several years of visual development. (shrink)

An image of a face depends not only on its shape, but also on the viewpoint, illumination conditions, and facial expression. A face recognition system must overcome the changes in face appearance induced by these factors. This paper investigate two related questions: the capacity of the human visual system to generalize the recognition of faces to novel images, and the level at which this generalization occurs. We approach this problems by comparing the identi (...) cation and generalization capacity for upright and inverted faces. For upright faces, we found remarkably good generalization to novel conditions. For inverted faces, the generalization to novel views was signi cantly worse for both new illumination and viewpoint, although the performance on the training images was similar to the upright condition. Our results indicate that at least some of the processes that support generalization across viewpoint and illumination are neither universal (because subjects did not generalize as easily for inverted faces as for upright ones), nor strictly objectspeci c (because in upright faces nearly perfect generalization was possible from a single view, by itself insu cient for building a complete object-speci c model). We propose that generalization in face recognition occurs at an intermediate level that is applicable to a class of objects, and that at this level upright and inverted faces initially constitute distinct object classes. (shrink)

Explanations of Capgras delusion and prosopagnosia typically incorporate a dual-route approach to facial recognition in which a deficit in overt or covert processing in one condition is mirror-reversed in the other. Despite this double dissociation, experiences of either patient-group are often reported in the same way – as lacking a sense of familiarity toward familiar faces. In this paper, deficits in the facial processing of these patients are compared to other facial recognition pathologies, and their experiential characteristics mapped (...) onto the dual-route model in order to provide a less ambiguous link between facial processing and experiential content. The paper concludes that the experiential states of Capgras delusion, prosopagnosia, and related facial pathologies are quite distinct, and that this descriptive distinctiveness finds explanatory equivalence at the level of anatomical and functional disruption within the face recognition system. The role of skin conductance response as a measure of ‘familiarity’ is also clarified. (shrink)

Specialized neural systems for encoding faces and face emotion cues are found in sheep which are very similar to those described in human and non-human primates. Sheep exhibit highly sophisticated face identity and face emotion discrimination skills, use configural cues, and also show right hemisphere dominance in face processing. Findings provide evidence for both sparse and population-based encoding with small populations of cells encoding selectively for specific individuals or categories of individual but nevertheless with widespread and (...) overlapping neuronal activity changes occurring across temporal cortex networks during the presentation of different faces. A number of studies have been carried out to map the neuroanatomical substrates involved in face recognition in sheep using quantification of expression changes in gene markers of neural activation. The face recognition system brings into sharp focus the ongoing debate as to whether sparse or population based codes or both are operating in the various cortical and subcortical networks involved. (shrink)

Face recognition confronts the same fundamental challenge as all object recognition: the identification of individuals belonging to a specific category despite a huge range in possible appearances. The specialized architecture of the face patch system—the concentration of face cells into modules and the spatial separation of modules—makes it possible to dissect the steps leading to invariant object recognition in unprecedented detail. It discusses both anatomical experiments revealing the connectivity of the six face (...) patches and electrophysiological experiments revealing the response selectivity of single units within the patches. It reviews insights into this question obtained from fMRI and electrophysiological experiments in macaque monkeys. It presents evidence that macaques have specialized face regions and discusses their anatomical connectivity as well as functional properties measured with both fMRI and targeted electrophysiology. (shrink)

This article contrasts the cognitive neuropsychiatric approach with the traditional psychiatric approaches to delusions to develop testable cognitive theories of delusions so as to render the generation of delusions psychologically understandable. It illustrates how cognitive neuropsychiatrists use the Bruce and Young model of face processing to explain the generation of misidentification delusions. The study of facial expression highlights that future cognitive neuropsychiatric study of self and non-self face processing using different representational media in patients with mirrored-self misidentification delusions (...) will likely be informative with regard to advancing scientific understanding of the putative differences between self and non-self recognition. It reviews cognitive neuropsychiatric research into the Capgras delusion and shows the distinction between overt face recognition and person identity authentication, and suggests the need for further modification of Bruce and Young's model to remove direct pathways between the person's identity module and the affective response system and to incorporate a separate integrative device. (shrink)

Recognition of the identity of familiar faces in conditions with poor visibility or over large changes in head angle, lighting and partial occlusion is far more accurate than recognition of unfamiliar faces in similar conditions. Here we used a visual search paradigm to test if one class of social cues transmitted by faces – direction of another’s attention as conveyed by gaze direction and head orientation – is perceived more rapidly in personally familiar faces than in unfamiliar faces. (...) We found a strong effect of familiarity on the detection of these social cues, suggesting that the times to process these signals in familiar faces are markedly faster than the corresponding processing times for unfamiliar faces. In the light of these new data, hypotheses on the organization of the visual system for processing faces are formulated and discussed. (shrink)

In an era of heightened concern about injustice in relations of identity and difference, political theorists often prescribe equal recognition as a remedy for the ills of subordination. Drawing on the philosophy of Hegel, they envision a system of reciprocal knowledge and esteem, in which the affirming glance of others lets everyone be who they really are. This book challenges the equation of recognition with justice. Patchen Markell mines neglected strands of the concept's genealogy and reconstructs an (...) unorthodox interpretation of Hegel, who, in the unexpected company of Sophocles, Aristotle, Arendt, and others, reveals why recognition's promised satisfactions are bound to disappoint, and even to stifle.Written with exceptional clarity, the book develops an alternative account of the nature and sources of identity-based injustice in which the pursuit of recognition is part of the problem rather than the solution. And it articulates an alternative conception of justice rooted not in the recognition of identity of the other but in the acknowledgment of our own finitude in the face of a future thick with surprise. Moving deftly among contemporary political philosophers, the close interpretation of ancient and modern texts, and the exploration of rich case studies drawn from literature, history, and modern politics, Bound by Recognition is at once a sustained treatment of the problem of recognition and a sequence of virtuoso studies. (shrink)

Emotion recognition, and in particular acial emotion recognition (FER), is among the most controversial applications of machine learning, not least because of its ethical implications for human subjects. In this article, we address the controversial conjecture that machines can read emotions from our facial expressions by asking whether this task can be performed reliably. This means, rather than considering the potential harms or scientific soundness of facial emotion recognition systems, focusing on the reliability of the ground truths (...) used to develop emotion recognition systems, assessing how well different human observers agree on the emotions they detect in subjects’ faces. Additionally, we discuss the extent to which sharing context can help observers agree on the emotions they perceive on subjects’ faces. Briefly, we demonstrate that when large and heterogeneous samples of observers are involved, the task of emotion detection from static images crumbles into inconsistency. We thus reveal that any endeavour to understand human behaviour from large sets of labelled patterns is over-ambitious, even if it were technically feasible. We conclude that we cannot speak of actual accuracy for facial emotion recognition systems for any practical purposes. (shrink)

In the current opinion paper, we provide a comparative perspective on specific aspects of primate empathic abilities, with particular emphasis on the mirror neuron system associated with mouth/face actions and expression. Mouth and faces can be very salient communicative classes of stimuli that allow an observer access to the emotional and physiological content of other individuals. We thus describe patterns of activations of neural populations related to observation and execution of specific mouth actions and emotional facial expressions in (...) some species of monkeys and in humans. Particular attention is given to dynamics of face-to-face interactions in the early phases of development and to the differences in the anatomy of facial muscles among different species of primates. We hypothesize that increased complexity in social environments and patterns of social development have promoted specializations of facial musculature, behavioral repertoires related to production and recognition of facial emotional expression, and their neural correlates. In several primates, mirror circuits involving parietal-frontal regions, insular regions, cingulate cortices, and amygdala seem to support automatic forms of embodied empathy, which probably contribute to facial mimicry and behavioural synchrony. In humans these circuits interact with specific prefrontal and temporo-parietal cortical regions, which facilitates higher order cognitive functions such as cognitive empathy and mental state attribution. Our analysis thus suggests that the evolution of higher forms of empathy, such as mentalizing, is also linked to the coupling between the perceptual and motor system related to face processing, which may have undergone a process of exaptation during primate phylogeny. (shrink)

Phylogenetic, epigenetic, and neurophysiological data characterize the specificity and limitations of the systems that support individual face recognition in human and non-human primates. The central question of the recognition of the faces of other species explores the processes that lead to the remarkable face expertise that humans and non-humans develop for members of their own species. This article reviews the literature on categorization/recognition abilities within and across species in human and non-human primates. It evaluates whether (...) it is possible for a species to perceive other species faces at the same level of expertise as for their own species. The neural substrate and the current models of neuronal processing that support face processing in human and non-human primates are described. Finally, it discusses the developmental data pertaining to face processing in human and non-human primates, challenging the view that face processing can be plastic in adults. (shrink)

(This version was submitted to Behavioral and Brain Science. A revised version was published by Biological Theory) Estimates of autism’s incidence increased 5-10 fold in ten years, an increase which cannot be genetic. Though many mutations are associated with autism, no mutation seems directly to cause autism. We need to find the direct cause. Complexity science provides a new paradigm - confirmed in biology by extensive hard data. Both the body and the personality are complex dynamic systems which spontaneously self-organize (...) from simple dynamic systems. Autism may therefore be caused by the failure of a simple dynamic system. We know that infants who cannot track their mother’s face often become autistic, that eye-contact initiates intersubjectivity which is blocked in autism, and that the infant-mother pair seems designed to promote eye-contact, as does the eye’s appearance. This author earlier proposed that failure of eye-contact might directly cause autism and that early non-maternal childcare, including television/video, would therefore be statistically linked to autism. Waldman et al. (2008; 2006) recently proved that autism is strongly linked to precipitation (indoor activity) and to the introduction of cable. The most plausible explanation? Early exposure to television/video is linked to autism. Furthermore a normal developmental cascade (blocked in autism) has been deciphered: (a) Infant-mother eye-contact triggers increased maternal attention. (b) Early maternal attention permanently increases not only baseline vasopressin but also that oxytocin release which is triggered by subsequent maternal attention. (c) Vasopressin and oxytocin promote face recognition, gazing-at-the-eyes, emotion recognition, and social bonding. The eye-contact hypothesis suggests a clinical study addressing prevention: recruit prospective parents who agree to curtail television/video/computer/wi-fi in their families; measure autism’s incidence in their children. (shrink)

The dependency of a speech recognition system on the accent of a user leads to the variation in its performance, as the people from different backgrounds have different accents. Accent labeling and conversion have been reported as a prospective solution for the challenges faced in language learning and various other voice-based advents. In the English TTS system, the accent labeling of unregistered words is another very important link besides the phonetic conversion. Since the importance of the primary (...) stress is much greater than that of the secondary stress, and the primary stress is easier to call than the secondary stress, the labeling of the primary stress is separated from the secondary stress. In this work, the labeling of primary accents uses a labeling algorithm that combines morphological rules and machine learning; the labeling of secondary accents is done entirely through machine learning algorithms. After 10 rounds of cross-validation, the average tagging accuracy rate of primary stress was 94%, the average tagging accuracy rate of secondary stress was 94%, and the total tagging accuracy rate was 83.6%. This perceptual study separates the labeling of primary and secondary accents providing the promising outcomes. (shrink)

This article reviews how behavioral methods, event-related potentials, and functional magnetic resonance imaging are used to understand the acquisition of perceptual expertise in both adult and developmental populations. The purpose of this study is to provide an overview of the research focused on understanding the role and nature of experience in both the acquisition of perceptual expertise and the development of expert face processing. Behavioral tasks designed to assess perceptual expertise in adults include: perceptual discrimination and matching tasks and (...) the categorization and recognition memory tasks. Training studies are used to mimic the natural acquisition of face and non-face perceptual expertise. Using these various methods and techniques, studies of perceptual expertise prove useful to the understanding of specialization of perceptual skills and categorization abilities and expands our understanding of the function and plasticity of the visual system. (shrink)

There is increasing interest in clarifying how different face emotion expressions are perceived by people from different cultures, of different ages and sex. However, scant availability of well-controlled emotional face stimuli from non-Western populations limit the evaluation of cultural differences in face emotion perception and how this might be modulated by age and sex differences. We present a database of East Asian face expression stimuli, enacted by young and older, male and female, Taiwanese using the Facial (...) Action Coding System (FACS). Combined with a prior database, this present database consists of 90 identities with happy, sad, angry, fearful, disgusted, surprised and neutral expressions amounting to 628 photographs. 20 young and 24 older East Asian raters scored the photographs for intensities of multiple-dimensions of emotions and induced affect. Multivariate analyses characterized the dimensionality of perceived emotions and quantified effects of age and sex. We also applied commercial software to extract computer-based metrics of emotions in photographs. Taiwanese raters perceived happy faces as one category, sad, angry, and disgusted expressions as one category, and fearful and surprised expressions as one category. Younger females were more sensitive to face emotions than younger males. Whereas older males showed reduced face emotion sensitivity, older female sensitivity was similar or accentuated relative to young females. Commercial software dissociated six emotions according to the FACS demonstrating that defining visual features were present. Our findings show that East Asians perceive a different dimensionality of emotions than Western-based definitions in face recognition software, regardless of age and sex. Critically, stimuli with detailed cultural norms are indispensable in interpreting neural and behavioral responses involving human facial expression processing. To this end, we add to the tools, which are available upon request, for conducting such research. (shrink)

Significant advances have been made in understanding human face recognition. However, a fundamental aspect of this process, how faces are located in our visual environment, is poorly understood and little studied. Here we examine the role of color in human face detection. We demonstrate that detection performance declines when color information is removed from faces, regardless of whether the surrounding scene context is rendered in color. Furthermore, faces rendered in unnatural colors are hard to detect, suggesting a (...) role beyond simple segmentation. When faces are presented such that half the surface is colored appropriately, and half unnaturally, performance declines. This suggests that observers are not simply using the presence of skin color “patches” to detect faces. Rather, our data suggest that detection operates via a face template combining diagnostic color and face‐shape information. These findings are consistent with color‐template approaches used in some computer‐based face detection systems. (shrink)

Purpose This paper aims to expose the challenges facing the attempt by Jamaica to introduce a new digital ID system without adequate regard to public consultation and the rights of citizens. Design/methodology/approach The method used is critical text analysis and policy analysis, providing background and relevant factors leading up to the legislative changes under review. Extensive literature sources were consulted and the relevant sections of the Jamaican constitution referenced and analysed. Findings The case study may have national peculiarities not (...) applicable in other jurisdictions. Its introduction acknowledges that the Jamaican Government may amend and re-submit the legislation, absent the flawed clauses. The paper however will remain valid given its detailed analysis and exposure of risks associated with biometric data collection, face recognition technology and data storage flaws. Practical implications It will be a practical example of the risks associated with flawed biometric data collection and the role of Courts in reviewing such legislation. Referrals to the Courts can be used as a remedy, as occurred not only in Jamaica but also in many other jurisdictions, including India and Kenya. Social implications The paper foregrounds the rights of citizens to be consulted on the collection and storage of their sensitive biometric data. The social implications and risks of violating the constitutional rights of citizens were made evident, and can be an example to other jurisdictions. Originality/value The paper is the first of its kind to provide detailed data and analysis on an outright rejection by the Courts of a country's ID legislation on grounds that it violated the constitution and rights of citizens. It shows the ethical and social challenges in proposing and implementing legislation without adequate public consultation on such sensitive matters as biometric data. It also exposes some of the challenges of artificial intelligence and face recognition technologies in ID data collection, including flaws related to race, gender and coding. (shrink)

This article offers a critical examination of theories that emphasize the importance of governmental provision of self-esteem to citizens. Self-esteem is the feeling that one’s abilities and achievements are positively appraised by the surrounding society, and in some cases the legal system. Such theories are becoming fashionable, following the influence of scholars such as Axel Honneth, Nancy Fraser, and others.The author argues that such theories face major challenges, on two accounts. First, trying to provide universal self esteem would (...) imply that people would be under a duty to positively appraise the achievements of any given person, and that might violate the free exercise of judgment. Second, the dominant theories of recognition also emphasize the importance of self-respect. Such theories usually understand self-respect as ‘the relation of a person to herself/himself, that concerns their intrinsic worth’. The ability to positively or negatively appraise the conducts/achievements of other people is an integral part of this ‘intrinsic worth’. The attempt to provide universal positive appraisals means therefore that a simultaneous achievement of self respect and self esteem is not possible as a social goal. Recognition theories face therefore not only an external critique by libertarian and liberal approaches, but also internal problems of consistency between different parts of their own theories. (shrink)

FOIS is the flagship conference of the International Association for Ontology and its Applications, a non-profit organization which promotes interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science. This book presents the papers delivered at FOIS 2023, the 13th edition of the Formal Ontology in Information Systems conference. The event was held as a sequentially-hybrid event, face-to-face in Sherbrooke, Canada, from 17 to 20 July 2023, and online from 18 (...) to 20 September 2023. In total, 62 articles from 19 different countries were submitted, out of which 25 were accepted for inclusion in the conference and for publication; corresponding to an acceptance rate of 40 percent. The contributions are separated into the book’s three sections: (1) Foundational ontological issues; (2) Methodological issues around the development, alignment, verification and use of ontologies; and (3) Domain ontologies and ontology-based applications. In these sections, ontological aspects from a wide variety of fields are covered, primarily from various engineering domains including cybersecurity, manufacturing, petroleum engineering, and robotics, but also extending to the humanities, social sciences, medicine, and dentistry. A noticeable trend among the contributions in this edition of the conference is the recognition that improving the tools to analyze, align, and improve ontologies is of paramount importance in continuing to advance the field of formal ontology. The book will be of interest to all formal and applied ontology researchers, and to those who use formal ontologies and information systems as part of their work. (shrink)

Health care services increasingly face patient populations with high levels of ethnic and cultural diversity. Cultures are associated with distinctive ways of life; concepts of personhood; value systems; and visions of the good that affect illness experience, help seeking, and clinical decision-making. Cultural differences may impede access to health care, accurate diagnosis, and effective treatment. The clinical encounter, therefore, must recognize relevant cultural differences, negotiate common ground in terms of problem definition and potential solutions, accommodate differences that are associated (...) with good clinical outcomes, and manage irresolvable differences. Clinical attention to and respect for cultural difference (a) can provide experiences of recognition that increase trust in and commitment to the institutions of the larger society, (b) can help sustain a cultural community through recognition of its distinct language, knowledge, values, and healing practices, and (c) to the extent that it is institutionalized, can contribute to building a pluralistic civil society. (shrink)

Standard accounts of delusion explain them as responses to experience. Cognitive models of feature binding in the face recognition systems explain how experiences of mismatch between feelings of "familiarity" and faces can arise. Similar mismatches arise in phenomena such as déjà and jamais vu in which places and scenes are mismatched to feelings of familiarity. These cognitive models also explain similarities between the phenomenology of these delusions and some dream states which involve mismatch between faces, feelings of familiarity (...) and identities. Given these similarities it makes sense to retain that aspect of the standard account in the face of revisionist arguments that feature binding anomalies which lead to delusions of misidentification are not consciously experienced. (shrink)

The own-age bias (OAB) refers to recognition memory being more accurate for people of our own-age than other-age groups (e.g., Wright and Stroud, 2002). This paper investigated whether the OAB effect is present during construction of human faces (also known as facial composites, often for forensic/police use). In doing so, it adds to our understanding of factors influencing both facial memory across the life span as well as performance of facial composites. Participant-witnesses were grouped into younger(19-35) and older(51-80) adults, (...) and each constructed a single composite from memory of an own- or cross-age target face using the feature-based composite system PRO-fit. They also completed the 40-item Glasgow Face Matching Test (GFMT; Burton, White and McNeill, 2010). A separate group of participants who were familiar with the relevant identities attempted to name the resulting composites. Correct naming of the composites revealed the presence of an OAB for older adults, who constructed more-identifiable composites of own-age than cross-age faces. For younger adults, age of target face did not influence correct naming and their composites we named at the same level as those constructed by older adults for younger targets. Also, there was no reliable correlation between face perception ability and composite construction. (shrink)

Third-party certification, the most common organic certification system, has faced growing criticism in recent years. This has led to the development of alternative certification systems, most of which can be classed as Participatory Guarantee Systems. PGS have been promoted as a more suitable, cheaper and less bureaucratic alternative to TPC for local markets and are associated with additional benefits such as empowering smallholder farmers, facilitating farmer-to-farmer learning and enhancing food security and sovereignty. PGS have spread rapidly in the past (...) few years, but studies suggest that they are facing numerous challenges that, if not addressed, may jeopardise these benefits. Using the example of three Mexican PGS initiatives, this paper explores the main challenges faced by PGS, specifically those predominantly found in producer-run PGS initiatives. Based on producer and consumer surveys, semi-structured and informal interviews, and participant and non-participant observation, the key challenges that emerged were continuous implementation of the certification process, time constraints, personal conflicts and conflict avoidance. The paper further argues that the requirements for PGS recognition under the Mexican Law for Organic Products may also threaten the continued existence of PGS and suggests that mechanisms for managing conflicts, incentivising PGS participation and mitigating opportunity costs are key if PGS are to continue to develop. (shrink)

Sometimes the fact that something is the law can be justified by the law. For example, the Sarbanes-Oxley Act is the law because it was enacted by Congress pursuant to the Commerce Clause. But eventually legal justification of law ends. The ultimate criteria of validity in a legal system cannot themselves be justified by law. According to H.L.A. Hart, justification of these ultimate criteria is still available, by reference to social facts concerning official acceptance - facts about what Hart (...) calls the "rule of recognition" for the system. -/- Drawing upon criticisms of sociological accounts of the law that can be found in the writings of Hans Kelsen, I argue in this essay that Hart's approach cannot account for statements about the law that assert the independence of legal validity from rule of recognition facts. I offer as an alternative a legal quietist approach, which can account for such statements. For the quietist, legal justification exhausts the possible justification for law. If our judgments about the law are fundamental, in the sense that they cannot be justified by other judgments about the law, then they have no justification (which is not to say that they should be abandoned). I argue that legal quietism is exemplified - if somewhat imperfectly - in Kelsen's writings, and I end the essay by exploring some difficulties that the quietist approach must face. (shrink)

This article discusses how research on the image-based analysis of facial images has informed this debate by demonstrating that a single representational system for facial identity and facial expression is not only computationally viable, but can simulate existing cognitive data demonstrating apparent dissociable processing of these two facial properties. It discusses the increasing number of cognitive studies that provide support for this view. Neuropsychological case studies of brain-injured patients and provide limited evidence for separate visual routes processing facial identity (...) and facial expression. It deals with neuroimaging studies addressing both facial identity and facial expression processing which shows that the fusiform gyrus contributes to the recognition of both facial properties. Research continues to reinforce the proposal that a common visual framework supports the representation of at least some aspects of facial identity and facial expression. (shrink)