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Conference Paper

Evaluating Object Recognition Theories by Computer Graphics Psychophysics

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Bülthoff, H., & Edelman, S. (1993). Evaluating Object Recognition Theories by Computer Graphics Psychophysics. In T. Poggio (Ed.), Exploring brain functions: models in neuroscience: report of the Dahlem Workshop on Exploring Brain Functions: Models in Neuroscience (pp. 139-164). Chichester, UK: Wiley.

Computational or information-processing theories of vision describe object recognition in terms of a comparison between the input image and a set of stored models that represent known objects. The nature of these representations is reflected in the performance of the visual system and may be studied experimentally, by presenting subjects with computer graphics simulations of three-dimensional objects (with precisely controlled shape cues), and by analyzing the ensuing patterns of response time and error rate. We discuss a series of psychophysical experiments that explore different aspects of the problem of subordinate-level object recognition and representation in human vision. Contrary to the paradigmatic view which holds that the representations are three-dimensional and object-centered, the results consistently support the notion of view-specific representations that include at most partial depth information.