Switch to: References

Add citations

You must login to add citations.
  1. An algebraic approach to shape-from-image problems.Kokichi Sugihara - 1984 - Artificial Intelligence 23 (1):59-95.
  • The visual interpretation of surface contours.Kent A. Stevens - 1981 - Artificial Intelligence 17 (1-3):47-73.
  • Shading into texture.Alex P. Pentland - 1986 - Artificial Intelligence 29 (2):147-170.
  • Improved methods of estimating shape from shading using the light source coordinate system.Chia-Hoang Lee & Azriel Rosenfeld - 1985 - Artificial Intelligence 26 (2):125-143.
  • Shape from texture: General principle.Ken-Ichi Kanatani & Tsai-Chia Chou - 1989 - Artificial Intelligence 38 (1):1-48.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  • Detection of surface orientation and motion from texture by a stereological technique.Ken-Ichi Kanatani - 1984 - Artificial Intelligence 23 (2):213-237.
  • Shape from regular patterns.Katsushi Ikeuchi - 1984 - Artificial Intelligence 22 (1):49-75.
  • On the geometric interpretation of image contours.Radu Horaud & Michael Brady - 1988 - Artificial Intelligence 37 (1-3):333-353.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  • Shape from texture and contour by weak isotropy.Jonas Gårding - 1993 - Artificial Intelligence 64 (2):243-297.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  • Shape from fractal geometry.Susan S. Chen, James M. Keller & Richard M. Crownover - 1990 - Artificial Intelligence 43 (2):199-218.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  • Perception of Features and Perception of Objects.Daniel Burnston & Jonathan Cohen - 2012 - Croatian Journal of Philosophy 12 (3):283-314.
    There is a long and distinguished tradition in philosophy and psychology according to which the mind’s fundamental, foundational connection to the world is made by connecting perceptually to features of objects. On this picture, which we’ll call feature prioritarianism, minds like ours first make contact with the colors, shapes, and sizes of distal items, and then, only on the basis of the representations so obtained, build up representations of the objects that bear these features. The feature priority view maintains, then, (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  • Artificial intelligence and robotics.Michael Brady - 1985 - Artificial Intelligence 26 (1):79-121.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  • Shape from texture.Andrew Blake & Constantinos Marinos - 1990 - Artificial Intelligence 45 (3):323-380.
  • Retrospective on “Interpreting line drawings as three-dimensional surfaces”.Harry G. Barrow & J. M. Tenenbaum - 1993 - Artificial Intelligence 59 (1-2):71-80.
  • Interpreting perspective images.Stephen T. Barnard - 1983 - Artificial Intelligence 21 (4):435-462.
  • Vision Reanimated.Shimon Edelman - unknown
    Computer vision systems are, on most counts, poor performers, when compared to their biological counterparts. The reason for this may be that computer vision is handicapped by an unreasonable assumption regarding what it means to see, which became prevalent as the notions of intrinsic images and of representation by reconstruction took over the field in the late 1970’s. Learning from biological vision may help us to overcome this handicap.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation