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dc.contributor.authorWilliamson, Jamesen_US
dc.date.accessioned2011-11-14T18:19:22Z
dc.date.available2011-11-14T18:19:22Z
dc.date.issued1993-01en_US
dc.identifier.urihttp://hdl.handle.net/2144/2011
dc.description.abstractRecognition of objects in complex visual scenes is greatly simplified by the ability to segment features belonging to different objects while grouping features belonging to the same object. This feature-binding process can be driven by the local relations between visual contours. The standard method for implementing this process with neural networks uses a temporal code to bind features together. I propose a spatial coding alternative for the dynamic binding of visual contours, and demonstrate the spatial coding method for segmenting an image consisting of three overlapping objects.en_US
dc.description.sponsorshipOffice of Naval Research (N00014-91-J-4100)en_US
dc.language.isoen_USen_US
dc.publisherBoston University Center for Adaptive Systems and Department of Cognitive and Neural Systemsen_US
dc.relation.ispartofseriesBU CAS/CNS Technical Reports;CAS/CNS-TR-1993-034en_US
dc.rightsCopyright 1993 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.en_US
dc.titleDynamic Binding of Visual Contours Without Temporal Codingen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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