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Thinking as ComputationA First Course$
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Hector J. Levesque

Print publication date: 2012

Print ISBN-13: 9780262016995

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262016995.001.0001

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Case Study: Interpreting Visual Scenes

Case Study: Interpreting Visual Scenes

Chapter:
(p.118) (p.119) * 6 Case Study: Interpreting Visual Scenes
Source:
Thinking as Computation
Author(s):

J. Levesque Hector

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262016995.003.0006

This chapter applies the idea of constraint satisfaction to a form of thinking that seems much more natural and relaxed: visual interpretation. This is a type of thinking that everyone can do to some extent, typically with a lot less conscious effort than puzzles require. The first section briefly considers the concept of vision and its connection to thinking. The following sections examine a sampling of three visual interpretation tasks: the interpretation of an image of a two-dimensional terrain as seen from above (Section 6.2); the interpretation of the edges in an image of three-dimensional polyhedral objects (Section 6.3); and recognizing objects of interest in an image (Section 6.4).

Keywords:   constraint satisfaction, Prolog programming, computer programming, visual interpretation, vision, thinking

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