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dc.contributor.authorGrossberg, Stephenen_US
dc.contributor.authorKuhlmann, Levinen_US
dc.contributor.authorMingolla, Ennioen_US
dc.date.accessioned2011-11-14T18:19:27Z
dc.date.available2011-11-14T18:19:27Z
dc.date.issued2006-03-29
dc.identifier.urihttps://hdl.handle.net/2144/2043
dc.description.abstractA neural model is presented of how cortical areas V1, V2, and V4 interact to convert a textured 2D image into a representation of curved 3D shape. Two basic problems are solved to achieve this: (1) Patterns of spatially discrete 2D texture elements are transformed into a spatially smooth surface representation of 3D shape. (2) Changes in the statistical properties of texture elements across space induce the perceived 3D shape of this surface representation. This is achieved in the model through multiple-scale filtering of a 2D image, followed by a cooperative-competitive grouping network that coherently binds texture elements into boundary webs at the appropriate depths using a scale-to-depth map and a subsequent depth competition stage. These boundary webs then gate filling-in of surface lightness signals in order to form a smooth 3D surface percept. The model quantitatively simulates challenging psychophysical data about perception of prolate ellipsoids (Todd and Akerstrom, 1987, J. Exp. Psych., 13, 242). In particular, the model represents a high degree of 3D curvature for a certain class of images, all of whose texture elements have the same degree of optical compression, in accordance with percepts of human observers. Simulations of 3D percepts of an elliptical cylinder, a slanted plane, and a photo of a golf ball are also presented.en_US
dc.description.sponsorshipNational Science Foundation (SBE-0354378, BCS-0235398); Office of Naval Research (N00014-01-1-0624); Air Force Office of Scientific Research (F49620-01-1-0657, F49620-01-1-0005)en_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-2006-001
dc.rightsCopyright 2006 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.subjectShapeen_US
dc.subjectTextureen_US
dc.subjectNeural modelingen_US
dc.subject3D visionen_US
dc.subjectVisual cortexen_US
dc.subjectFACADE modelen_US
dc.subjectBCSen_US
dc.subjectFCSen_US
dc.subjectMultiple scalesen_US
dc.subjectPerceptual groupingen_US
dc.subjectSize-disparity correlationen_US
dc.subjectFilling-inen_US
dc.subjectShape-from-textureen_US
dc.titleA Neural Model of 3D Shape-From-Texture: Multiple-Scale Filtering, Boundary Grouping, and Surface Filling-Inen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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