Model-based point matching

Kenneth B. Thornton; Robert M. Haralick

doi:10.1117/12.57130

1 February 1992 Model-based point matching

Kenneth B. Thornton, Robert M. Haralick

Proceedings Volume 1609, Model-Based Vision Development and Tools; (1992) https://doi.org/10.1117/12.57130
Event: Robotics '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Kenneth B. Thornton and Robert M. Haralick "Model-based point matching", Proc. SPIE 1609, Model-Based Vision Development and Tools, (1 February 1992); https://doi.org/10.1117/12.57130

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