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dc.contributor.authorGancarz, Gregoryen_US
dc.date.accessioned2011-11-14T19:07:07Z
dc.date.available2011-11-14T19:07:07Z
dc.date.issued1996-01
dc.identifier.urihttps://hdl.handle.net/2144/2302
dc.description.abstractWe introduce a novel method for shape-based image database search that uses saccadic targeting for local feature choice. A simulated multiresolution sensor is directed toward salient regions of an image in a series of saccadic movements. At each fixation point 1 a region of the retinal image is stored for later matching by correlation. The utility of this approach is demonstrated on an 86 image database.en_US
dc.language.isoen_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-1996-003
dc.rightsCopyright 1996 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.titleGuiding Eye Movements For Feature Based Shape Matchingen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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