Models of object recognition
Top Cited Papers
- 1 November 2000
- journal article
- review article
- Published by Springer Nature in Nature Neuroscience
- Vol. 3 (S11) , 1199-1204
- https://doi.org/10.1038/81479
Abstract
Understanding how biological visual systems recognize objects is one of the ultimate goals in computational neuroscience. From the computational viewpoint of learning, different recognition tasks, such as categorization and identification, are similar, representing different trade-offs between specificity and invariance. Thus, the different tasks do not require different classes of models. We briefly review some recent trends in computational vision and then focus on feedforward, view-based models that are supported by psychophysical and physiological data.This publication has 52 references indexed in Scilit:
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