Share Email Print

Proceedings Paper

Model-based point matching
Author(s): Kenneth B. Thornton; Robert M. Haralick
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top