Representation and recognition in vision

Representation and recognition in vision Shimon Edelman.

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Bibliographic Details
Main Author:	Edelman, Shimon
Format:	eBook
Language:	English
Published:	Cambridge, Mass. : MIT Press, c1999.
Series:	Ebsco e-book purchased.
Subjects:	Visual perception. Mental representation. Visualization. Recognition (Psychology) Categorization (Psychology) Cognitive science. Electronic resources (E-books) Electronic books.
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community. This was purchased from Ebsco with a single user license.

Table of Contents:

The Problem of Representation
A Vision of Representation
Reconstruction
Representation without Reconstruction
The Feature Detector Redux
The Challenge
Theories of Representation and Object Recognition
Recognition-Related Tasks That Require Representation
Identification and Generalization
Categorization
Analogy
A Formalization of the Notion of Representation
The Problem of Representation
Representation as a Mapping
First- and Second-Order Isomorphism
Computational Theories of Recognition
Reconstructionist Theories: A Brief Historical Perspective
Structural Decomposition Theories
Theories Based on Geometric Constraints
Multidimensional Feature Spaces
S-isomorphism: The Theory
Similarity as Proximity in a Metric Space
Some Common Objections
A Metric Similarity Space as a Working Hypothesis
Shape Spaces
Kendall's Shape Space
Transformations and Deformations
Best-Correspondence Distance
An Objective Shape Space
Parameterization of Distal Shape Space
Scope of Parameterization
Dimensionality of Parameterization
The Distal to Proximal Mapping
Levels of Representation of Similarity
The Components of the Mapping F
Constraints on F
Implications
S-isomorphism: An Implementation
Task-Dependent Treatment of the Measurement Space
Identification ("Is this an image of object X?")
Recognition ("Is this an image of something I know?")
Categorization ("What is this thing?")
Categorization as Navigation in Shape Space.