Dynamic integration of depth cues for surface reconstruction from stereo images
Abbott, Amos Lynn
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https://hdl.handle.net/2142/23593
Description
Title
Dynamic integration of depth cues for surface reconstruction from stereo images
Author(s)
Abbott, Amos Lynn
Issue Date
1990
Doctoral Committee Chair(s)
Ahuja, Narendra
Department of Study
Engineering, Electronics and Electrical
Computer Science
Discipline
Engineering, Electronics and Electrical
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Computer Science
Language
eng
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.
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