David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
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.
|Keywords||No keywords specified (fix it)|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Shimon Edelman, Viewpoint Generalization in Face Recognition: The Role of Category-Speci C Processes.
T. N. Davies & D. D. Hoffman (2003). Facial Attention and Spacetime Fragments. Axiomathes 13 (3-4):303-327.
Therese Davis (2004). The Face on the Screen: Death, Recognition and Spectatorship. Intellect Books.
Susan Bredlau (2011). Monstrous Faces and a World Transformed: Merleau-Ponty, Dolezal, and the Enactive Approach on Vision Without Inversion of the Retinal Image. Phenomenology and the Cognitive Sciences 10 (4):481-498.
Hagi Kenaan (2011). Facing Images. Angelaki 16 (1):143 - 159.
David Keyt (2007). The Good Man and the Upright Citizen in Aristotle's Ethics and Politics. Social Philosophy and Policy 24 (2):220-240.
Rankin W. McGugin, James W. Tanaka, Sophie Lebrecht, Michael J. Tarr & Isabel Gauthier (2011). Race-Specific Perceptual Discrimination Improvement Following Short Individuation Training With Faces. Cognitive Science 35 (2):330-347.
Douglas Walton (1999). Rethinking the Fallacy of Hasty Generalization. Argumentation 13 (2):161-182.
Mariko Moher, Lisa Feigenson & Justin Halberda (2010). A One-to-One Bias and Fast Mapping Support Preschoolers' Learning About Faces and Voices. Cognitive Science 34 (5):719-751.
Shimon Edelman (1997). Computational Theories of Object Recognition. Trends in Cognitive Sciences 1 (8):296-304.
Dwayne Moore (2010). The Generalization Problem and the Identity Solution. Erkenntnis 72 (1):57 - 72.
Added to index2010-12-22
Total downloads5 ( #241,533 of 1,139,999 )
Recent downloads (6 months)1 ( #157,514 of 1,139,999 )
How can I increase my downloads?