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Proceedings Paper

Information theoretic approach to model-based 3D object recognition using orthogonal transforms
Author(s): Inderpreet S. Khurana; Richard F. Vaz; David Cyganski; Charles R. Wright
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Paper Abstract

A previously reported technique for object recognition and orientation determination is used to develop an information theoretic viewpoint of the model-based vision problem. The technique employs an analytic object model developed from transform coefficients of object views, and develops pose parameter estimates by minimizing an error measure developed from the model and transform coefficients of an acquired image. Parallels between this technique and vector quantization-based coding are developed, which motivate an analysis of the machine vision system performance in terms of the distortion/rate performance achievable. This paper presents the framework for such a viewpoint, along with preliminary performance results of the recognition technique.

Paper Details

Date Published: 20 April 1993
PDF: 7 pages
Proc. SPIE 1827, Model-Based Vision, (20 April 1993); doi: 10.1117/12.143057
Show Author Affiliations
Inderpreet S. Khurana, Worcester Polytechnic Institute (United States)
Richard F. Vaz, Worcester Polytechnic Institute (United States)
David Cyganski, Worcester Polytechnic Institute (United States)
Charles R. Wright, Worcester Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 1827:
Model-Based Vision
Hatem N. Nasr; Rodney M. Larson, Editor(s)

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