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Representation and Recognition in Vision (A Bradford Book)
 
 
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Representation and Recognition in Vision (A Bradford Book) [Hardcover]

Shimon Edelman (Author)

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Book Description

A Bradford Book May 21, 1999

Researchers 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.


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About the Author

Shimon Edelman is Professor of Psychology at Cornell University in Ithaca, New York.

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Shimon Edelman was born at the height of the Cold War in a global empire that eventually proved to be a figment of its own imagination. His subsequent peripathetics left him fluent in several languages, but without the ability to speak a single one without an accent (luckily for him, writing is another matter altogether). Trained as an electrical engineer, he was turned by a clever book about the brain and became a reverse engineer, applying conceptual tools from computer science to understanding the mind. He teaches at Cornell University in Ithaca, New York.

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