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Proceedings Paper

Model-based point matching
Author(s): Kenneth B. Thornton; Robert M. Haralick
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Paper Abstract

In this paper, we describe an algorithm for estimating the camera position and orientation (pose) from which a rigid, 3D solid model is viewed. The algorithm consists of two stages. In the hypothesis stage, using a bounded error criterion, maximal sets of corresponding model and image points are found that are consistent with a camera pose. In the verification stage, the local noise statistics and the probability that a visible model point may not be detected are used in pooling responses from individual image regions to decide whether or not to accept the match.

Paper Details

Date Published: 1 February 1992
PDF: 11 pages
Proc. SPIE 1609, Model-Based Vision Development and Tools, (1 February 1992); doi: 10.1117/12.57130
Show Author Affiliations
Kenneth B. Thornton, Univ. of Washington (United States)
Robert M. Haralick, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 1609:
Model-Based Vision Development and Tools
Rodney M. Larson; Hatem N. Nasr, Editor(s)

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