001387388 000__ 03229cam\a2200493M\\4500 001387388 001__ 1387388 001387388 003__ MaCbMITP 001387388 005__ 20240325105112.0 001387388 006__ m\\\\\o\\d\\\\\\\\ 001387388 007__ cr\un\nnnunnun 001387388 008__ 160810e19990513riu\\\\\o\\\\\000\0\eng\d 001387388 020__ $$a9780262272155 001387388 020__ $$a0262272156$$q(E-Book) 001387388 0243_ $$a9780262272155 001387388 035__ $$a(OCoLC)961854618 001387388 035__ $$a(OCoLC-P)961854618 001387388 040__ $$aOCoLC-P$$beng$$cOCoLC-P 001387388 050_4 $$aBF241 001387388 08204 $$a152.14$$221 001387388 1001_ $$aEdelman, Shimon,$$eauthor. 001387388 24510 $$aRepresentation and Recognition in Vision. 001387388 260__ $$aCambridge :$$bMIT Press$$cMay 1999. 001387388 300__ $$a1 online resource (402 pages) 001387388 336__ $$atext$$btxt$$2rdacontent 001387388 337__ $$acomputer$$bc$$2rdamedia 001387388 338__ $$aonline resource$$bcr$$2rdacarrier 001387388 506__ $$aAccess limited to authorized users. 001387388 5208_ $$aAnnotation$$bResearchers have long sought to understand what the brain does when we see an object, what two people have in common when they see the same object, and what a "seeing" machine would need to have in common with a human visual system. Recent neurobiological and computational advances in the study of vision have now brought us close to answering these and other questions about representation. In Representation and Recognition in Vision, Shimon Edelman bases a comprehensive approach to visual representation on the notion of correspondence between proximal (internal) and distal similarities in objects. This leads to a computationally feasible and formally veridical representation of distal objects that addresses the needs of shape categorization and can be used to derive models of perceived similarity. Edelman first discusses the representational needs of various visual recognition tasks, and surveys current theories of representation in this context. He then develops a theory of representation that is related to Shepard's notion of second-order isomorphism between representations and their targets. Edelman goes beyond Shepard by specifying the conditions under which the representations can be made formally veridical. Edelman assesses his theory's performance in identification and categorization of 3D shapes and examines it in light of psychological and neurobiological data concerning the object-processing stream in primate vision. He also discusses the connections between his theory and other efforts to understand representation in the brain. 001387388 588__ $$aOCLC-licensed vendor bibliographic record. 001387388 650_0 $$aVisual perception. 001387388 650_0 $$aMental representation. 001387388 650_0 $$aVisualization. 001387388 650_0 $$aRecognition (Psychology) 001387388 650_0 $$aCategorization (Psychology) 001387388 650_0 $$aCognitive science. 001387388 653__ $$aNEUROSCIENCE/Visual Neuroscience 001387388 653__ $$aCOGNITIVE SCIENCES/General 001387388 655_0 $$aElectronic books 001387388 852__ $$bebk 001387388 85640 $$3MIT Press$$uhttps://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/5890.001.0001?locatt=mode:legacy$$zOnline Access through The MIT Press Direct 001387388 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 001387388 909CO $$ooai:library.usi.edu:1387388$$pGLOBAL_SET 001387388 980__ $$aBIB 001387388 980__ $$aEBOOK 001387388 982__ $$aEbook 001387388 983__ $$aOnline