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Title:Dynamic integration of depth cues for surface reconstruction from stereo images
Author(s):Abbott, Amos Lynn
Doctoral Committee Chair(s):Ahuja, Narendra
Department / Program:Engineering, Electronics and Electrical
Computer Science
Discipline:Engineering, Electronics and Electrical
Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
Computer Science
Abstract:This thesis describes a computational method for surface estimation from stereo images. The images are obtained with a dynamically controlled camera system, having imaging parameters which are selected on the basis of an evolving composite description of the surfaces in the environment. This follows the paradigm of active vision, which implies a feedback mechanism to select physical sensory parameters in order to improve the quality of the derived results.
In addition to stereo disparity, camera vergence and focus are used as sources of depth information. Through the integration of these cues, a global surface map of the visual field is synthesized by systematically scanning the scene, combining estimates of adjacent, local surface patches, each acquired by an intermediate camera configuration and having a small depth range. The method provides for the local optimization of calibrated values for imaging parameters. This approach, when coupled with dynamic image acquisition and analysis, results in a powerful mechanism for autonomous surface reconstruction.
Issue Date:1990
Rights Information:Copyright 1990 Abbott, Amos Lynn
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9026116
OCLC Identifier:(UMI)AAI9026116

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