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Proceedings Paper

A Machine Vision Identification Technique From Range Images
Author(s): N. Kehtarnavaz; S. Mohan
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Paper Abstract

In this paper, we have developed an orientation-independent identification technique from three-dimensional surface maps or range images. Given the range image of an object, it is decomposed into orientation-independent patches using the sign of gaussian curvature. A relational graph is then set up such that a node represents a patch and an edge represents the adjacency of two patches. The identification of the object is achieved by matching its graph representation to a number of model graphs. The matching is performed by employing the best-first search strategy. Examples of real range images show the merit of our technique.

Paper Details

Date Published: 19 February 1988
PDF: 8 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942762
Show Author Affiliations
N. Kehtarnavaz, Texas A&M Univ. (United States)
S. Mohan, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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