Dynamic Binding of Visual Contours Without Temporal Coding
Data(s) |
14/11/2011
14/11/2011
01/01/1993
|
---|---|
Resumo |
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. Office of Naval Research (N00014-91-J-4100) |
Identificador | |
Idioma(s) |
en_US |
Publicador |
Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems |
Relação |
BU CAS/CNS Technical Reports;CAS/CNS-TR-1993-034 |
Direitos |
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. Boston University Trustees |
Tipo |
Technical Report |