{"pk":32280,"title":"Recognition Model with Narrow and Broad Extension Fields","subtitle":null,"abstract":"A recognition model which defines a measure of shape similarity on the direct output of multiscale and multiorientation Gabor filters does not manifest qualitative aspects of human object recognition of contour-deleted images in that: a) it recognizes recoverable and nonrecoverable contour-deleted images equally well whereas humans recognize recoverable images much better, b) it distinguishes complementary feature-deleted images whereas humans do not. Adding some of the known connectivity pattern of the primary visual cortex to the model in the form of <i>extension fields</i> (connections between collinear and curvilinear units) among filters increased the overall recognition performance of the model and: a) boosted the recognition rate of the recoverable images far more than the nonrecoverable ones, b) increased the similarity of complementary feature-deleted images, but not part-deleted ones, more closely corresponding to human psychophysical results. Interestingly, performance was approximately equivalent for narrow (±15') and broad (±90') extension fields.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Long Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/27n4v71r","frozenauthors":[{"first_name":"Peter","middle_name":"","last_name":"Kalocsai","name_suffix":"","institution":"Department of Business Adminstration, Yonsei University","department":""},{"first_name":"Irving","middle_name":"","last_name":"Biederman","name_suffix":"","institution":"Department of Business Adminstration, Yonsei University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1997-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/32280/galley/23345/download/"}]}