Representation and Recognition in Vision
Representation and Recognition in Thought Books
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Researchers have long sought to know 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 thought have now brought us close to answering these and other questions about representation.In Representation and Recognition in Thought, 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 realistic 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 correlated to Shepard’s notion of second-order isomorphism between representations and their targets. Edelman goes beyond Shepard by specifying the conditions below 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 as regards the object-processing spill in primate thought. He also discusses the connections between his theory and other efforts to know representation in the brain.
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