Representation and Recognition in Vision

Edelman, Shimon

ISBN 10: 0262050579 / ISBN 13: 9780262050579

Verlag: MIT Press, Cambridge, Mass, 1999

Beschreibung

Octavo in blue cloth; gilt letters on spine; illus.; 335 pp., 24 cm. In English. Abstract: 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. Near fine copy; no jacket; spine is faded a lighter shade of blue; previous owner catalogued every book in his library using spine labels so there is adhesive residue at spine tail; o/w cloth is clean and free of fraying; pages are clean, crisp and free of marks and creases; edges of leaves are clean; binding is tight and square.

Bestandsnummer des Verkäufers 85544

Bibliografische Details

• Titel: Representation and Recognition in Vision
• Verlag: MIT Press, Cambridge, Mass
• Erscheinungsjahr: 1999
• Sprache: Englisch
• ISBN-10: 0262050579
• ISBN-13: 9780262050579
• Einband: Hardcover
• Zustand: Near Fine
• Verkäuferkataloge:
  • Psychology & Education

Über diesen Titel

Inhaltsangabe

Shimon Edelman bases a comprehensive approach to visual representation on the notion of correspondence between proximal (internal) and distal similarities in objects.

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.

Über die Autorin bzw. den Autor

Shimon Edelman is Professor of Psychology at Cornell University. He is the author of Computing the Mind, The Happiness of Pursuit, and other books.