Optimal Affine-Invariant Point Matching

Mauro Costa; Robert Haralick; Tsaiyun Phillips; Linda Shapiro

doi:10.1117/12.969300

21 March 1989 Optimal Affine-Invariant Point Matching

Mauro Costa, Robert Haralick, Tsaiyun Phillips, Linda Shapiro

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969300
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

The affine-transformation matching scheme proposed by Hummel and Wolfson (1988) is very efficient in a model-based matching system, not only in terms of the computational complexity involved, but also in terms of the simplicity of the method. This paper addresses the implementation of the affine-invariant point matching, applied to the problem of recognizing and determining the pose of sheet metal parts. It points out errors that can occur with this method due to quantization, stability, symmetry, and noise problems. By beginning with an explicit noise model which the Hummel and Wolfson technique lacks, we can derive an optimal approach which overcomes these problems. We show that results obtained with the new algorithm are clearly better than the results from the original method.

Citation Download Citation

Mauro Costa, Robert Haralick, Tsaiyun Phillips, and Linda Shapiro "Optimal Affine-Invariant Point Matching", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969300

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