CAD-based computer vision: the automatic generation of recognition stragtegies

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Hansen, Charles D.
Other Author Henderson, Thomas
Title CAD-based computer vision: the automatic generation of recognition stragtegies
Date 1988
Description Three-dimensional model-based computer vision uses geometric models of objects and sensed data to recognize objects in a scene. Likewise, Computer Aided Design (CAD) systems are used to interactively generate three-dimensional models during these fields. Recently, the unification of CAD and vision systems has become the focus of research in the context of manufacturing automation. This paper explores the connection between CAD and computer vision. A method for the automatic generation of recognition strategies based on the geometric properties of shape has been devised and implemented. This uses a novel technique developed for quantifying the following properties of features which compose models used in computer vision: robustness, completeness, consistency, cost, and uniqueness. By utilizing this information, the automatic synthesis of a specialized recognition scheme, called a Strategy Tree, is accomplished. Strategy Trees describe, in a systematic and robust manner. the search process used for recognition and localization of particular objects in the given scene. They consist of selected features which satisfy system constraints and Corroborating Evidence Subtrees which are used in the formation of hypotheses. Verification techniques, used to substantiate or refute these hypotheses, are explored. Experiments utilizing 3-D data are presented.
Type Text
Publisher International Society for Optical Engineering (SPIE)
First Page 275
Last Page 298
Language eng
Bibliographic Citation Henderson,T., & Hansen, C. D. (1988). CAD-based computer vision: the automatic generation of recognition stragtegies. SPIE Conf, 275-98. April.
Rights Management (c)Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Format Medium application/pdf
Format Extent 4,313,359 bytes
Identifier ir-main,14710
ARK ark:/87278/s6pr8d60
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2012-06-13
ID 703560
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