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Dynamic Binding of Visual Contours Without Temporal Coding

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dc.contributor.author Williamson, James en_US
dc.date.accessioned 2011-11-14T18:19:22Z
dc.date.available 2011-11-14T18:19:22Z
dc.date.issued 1993-01 en_US
dc.identifier.uri http://hdl.handle.net/2144/2011
dc.description.abstract Recognition 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.sponsorship Office of Naval Research (N00014-91-J-4100) en_US
dc.language.iso en_US en_US
dc.publisher Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems en_US
dc.relation.ispartofseries BU CAS/CNS Technical Reports;CAS/CNS-TR-1993-034 en_US
dc.rights Copyright 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.title Dynamic Binding of Visual Contours Without Temporal Coding en_US
dc.type Technical Report en_US
dc.rights.holder Boston University Trustees en_US


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