24 found
Order:
  1.  24
    Identity From Variation: Representations of Faces Derived From Multiple Instances.A. Mike Burton, Robin S. S. Kramer, Kay L. Ritchie & Rob Jenkins - 2016 - Cognitive Science 40 (1):202-223.
    Research in face recognition has tended to focus on discriminating between individuals, or “telling people apart.” It has recently become clear that it is also necessary to understand how images of the same person can vary, or “telling people together.” Learning a new face, and tracking its representation as it changes from unfamiliar to familiar, involves an abstraction of the variability in different images of that person's face. Here, we present an application of principal components analysis computed across different photos (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   21 citations  
  2.  30
    Understanding covert recognition.A. Mike Burton, Andrew W. Young, Vicki Bruce, Robert A. Johnston & Andrew W. Ellis - 1991 - Cognition 39 (2):129-166.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   43 citations  
  3.  39
    Understanding face familiarity.Robin S. S. Kramer, Andrew W. Young & A. Mike Burton - 2018 - Cognition 172 (C):46-58.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  4.  6
    Robust social categorization emerges from learning the identities of very few faces.Robin S. S. Kramer, Andrew W. Young, Matthew G. Day & A. Mike Burton - 2017 - Psychological Review 124 (2):115-129.
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  5.  28
    From Pixels to People: A Model of Familiar Face Recognition.A. Mike Burton, Vicki Bruce & P. J. B. Hancock - 1999 - Cognitive Science 23 (1):1-31.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   23 citations  
  6.  42
    Verification of face identities from images captured on video.Vicki Bruce, Zoë Henderson, Karen Greenwood, Peter J. B. Hancock, A. Mike Burton & Paul Miller - 1999 - Journal of Experimental Psychology: Applied 5 (4):339.
  7.  46
    Viewers base estimates of face matching accuracy on their own familiarity: Explaining the photo-ID paradox.Kay L. Ritchie, Finlay G. Smith, Rob Jenkins, Markus Bindemann, David White & A. Mike Burton - 2015 - Cognition 141 (C):161-169.
    No categories
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  8.  25
    Attention capture by faces.Stephen R. H. Langton, Anna S. Law, A. Mike Burton & Stefan R. Schweinberger - 2008 - Cognition 107 (1):330-342.
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   15 citations  
  9.  14
    Matching identities of familiar and unfamiliar faces caught on CCTV images.Vicki Bruce, Zoë Henderson, Craig Newman & A. Mike Burton - 2001 - Journal of Experimental Psychology: Applied 7 (3):207.
  10.  16
    What makes a face photo a ‘good likeness’?Kay L. Ritchie, Robin S. S. Kramer & A. Mike Burton - 2018 - Cognition 170 (C):1-8.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  11.  14
    Understanding facial impressions between and within identities.Mila Mileva, Andrew W. Young, Robin S. S. Kramer & A. Mike Burton - 2019 - Cognition 190 (C):184-198.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  12.  30
    Viewers extract mean and individual identity from sets of famous faces.Markus F. Neumann, Stefan R. Schweinberger & A. Mike Burton - 2013 - Cognition 128 (1):56-63.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  13.  14
    Tolerance for distorted faces: Challenges to a configural processing account of familiar face recognition.Adam Sandford & A. Mike Burton - 2014 - Cognition 132 (3):262-268.
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  14.  14
    Multiple-image arrays in face matching tasks with and without memory.Kay L. Ritchie, Robin S. S. Kramer, Mila Mileva, Adam Sandford & A. Mike Burton - 2021 - Cognition 211 (C):104632.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  15.  8
    Insights from computational models of face recognition: A reply to Blauch, Behrmann and Plaut.Andrew W. Young & A. Mike Burton - 2021 - Cognition 208 (C):104422.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  16.  82
    Unfamiliar face perception.A. Mike Burton & Rob Jenkins - 2011 - In Andy Calder, Gillian Rhodes, Mark Johnson & Jim Haxby (eds.), Oxford Handbook of Face Perception. Oxford University Press. pp. 287--306.
    This article describes some differences between familiar and unfamiliar face processing. It presents the evidence that unfamiliar face recognition is poor. Since this poor performance has implications both practically and theoretically, it is important to establish the facts. The article analyses reasons that people appear to have little insight into their own poor performance with unfamiliar faces, and some sectors of society seem so keen to use faces as a means of proving identity. It reviews some historical research comparing familiar (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  17.  14
    Long-term effects of covert face recognition.Rob Jenkins, A. Mike Burton & Andrew W. Ellis - 2002 - Cognition 86 (2):B43-B52.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  18.  30
    The Role of Color in Human Face Detection.Markus Bindemann & A. Mike Burton - 2009 - Cognitive Science 33 (6):1144-1156.
    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 (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  19.  11
    Personal familiarity of faces, animals, objects, and scenes: Distinct perceptual and overlapping conceptual representations.Holger Wiese, Maya Schipper, Tsvetomila Popova, A. Mike Burton & Andrew W. Young - 2023 - Cognition 241 (C):105625.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  20.  8
    Long-term effects of covert face recognition.Rob Jenkins, A. Mike Burton, Andrew W. Ellis, Bart Geurts, Anna Papafragou & Julien Musolino - 2002 - Cognition 86 (2):B43-B52.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  21.  19
    Local representations without the locality assumption.A. Mike Burton & Vicki Bruce - 1994 - Behavioral and Brain Sciences 17 (1):62-63.
  22.  30
    The many ways to distribute distributed representations.A. Mike Burton - 2000 - Behavioral and Brain Sciences 23 (4):472-473.
    Distributed representations can be distributed in very many ways. The specific choice of representation for a specific model is based on considerations unique to the area of study. General statements about the effectiveness of distributed models are therefore of little value. The popularity of these models is discussed, particularly with respect to reporting conventions.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  23.  46
    Putting names to faces: A review and tests of the models.Derek R. Carson, A. Mike Burton & Vicki Bruce - 2000 - Pragmatics and Cognition 8 (1):9-62.
    It is well established that retrieval of names is harder than the retrieval of other identity specific information. This paper offers a review of the more influential accounts put forward as explanations of why names are so difficult to retrieve. A series of five experiments tests a number of these accounts.Experiments One to Three examine the claims that names are hard to recall because they are typically meaningless, or unique. Participants are shown photographs of unfamiliar people or familiar people and (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  24.  15
    Box 1. Principal components analysis of faces.Peter J. B. Hancock, Vicki Bruce & A. Mike Burton - 2000 - Trends in Cognitive Sciences 4 (9):330-337.