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Teleological computer graphics modeling

Barr, Alan H. (1991) Teleological computer graphics modeling. In: 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Proceedings. IEEE Computer Society Press , Los Alamitos, CA, p. 2. ISBN 0-8186-2148-6.

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Summary form only give. Teleological modeling, a developing approach for creating abstractions and mathematical representations of physically realistic time-dependent objects, is described. In this approach, geometric constraint-properties, mechanical properties of objects, the parameters representing an object, and the control of the object are incorporated into a single conceptual framework. A teleological model incorporates time-dependent goals of behavior of purpose as the primary abstraction and representation of what the object is. A teleological implementation takes a geometrically incomplete specification of the motion, position, and shape of an object, and produces a geometrically complete description of the object's shape and behavior as a function of time. Teleological modeling techniques may be suitable for consideration in computer vision algorithms by extending the current notions about how to make mathematical representations of objects. Teleological descriptions can produce compact representations for many of the physically derivable quantities controlling the shapes, combining-operations, and constraints which govern the formation and motion of objects.

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Additional Information:© 1991 IEEE. Date of Current Version: 06 August 2002.
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INSPEC Accession Number4127690
Record Number:CaltechAUTHORS:20120418-142431185
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Official Citation:Barr, A.H.; , "Teleological computer graphics modeling," Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on , vol., no., pp.2, 3-6 Jun 1991 doi: 10.1109/CVPR.1991.139650 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:30176
Deposited By: Ruth Sustaita
Deposited On:18 Apr 2012 22:05
Last Modified:09 Nov 2021 19:38

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