Modeling Human Visual Object Recognition

Edelman, S; Bülthoff, HH

doi:10.1109/IJCNN.1992.227292

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Modeling Human Visual Object Recognition

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=227292
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Edelman, S., & Bülthoff, H. (1992). Modeling Human Visual Object Recognition. In IJCNN International Joint Conference on Neural Networks 1992 (pp. 37-42). Piscataway, NJ, USA: IEEE.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-EDE6-A

Abstract

The topics discussed here are network models of object recognition; a computational theory of recognition; psychophysical support for a view-interpolation model: and an open issue, features of recognition. The authors survey a successful replication of central characteristics of performance in 3-D object recognition by a computational model based on interpolation among a number of stored views of each object. Network models of 3-D object recognition based on interpolation among specific stored views behave in several respects similarly to human observers in a number of recognition tasks. Even closer replication of human performance in recognition should be expected, once the issue of the features used to represent object views is resolved.