preprint on visual recognition and categorization

[Shimon Edelman]

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Visual recognition and categorization on the basis of similarities to
multiple class prototypes

Sharon Duvdevani-Bar and Shimon Edelman

Available directly via FTP

	ftp://eris.wisdom.weizmann.ac.il/pub/recog+categ.ps.Z

or via this Web page

	http://eris.wisdom.weizmann.ac.il/~edelman/archive.html

Abstract:

One of the difficulties of object recognition stems from the need to
overcome the variability in object appearance caused by factors such
as illumination and pose. The influence of these factors can be
countered by learning to interpolate between stored views of the
target object, taken under representative combinations of viewing
conditions. Difficulties of another kind arise in daily life
situations that require categorization, rather than recognition, of
objects. We show that, although categorization cannot rely on
interpolation between stored examples, knowledge of several
representative members, or prototypes, of each of the categories of
interest can still provide the necessary computational substrate for
the categorization of new instances. The resulting representational
scheme based on similarities to prototypes is computationally viable,
and is readily mapped onto the mechanisms of biological vision
revealed by recent psychophysical and physiological studies.
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Comments welcome.

-Shimon

Shimon Edelman,	School of Cognitive and Computing Sciences
University of Sussex,    Falmer,  Brighton  BN1 9QH,    UK
http://www.cogs.susx.ac.uk/users/shimone   +44 1273 678659