Matching Multiple Views by the Least Square Correlation

Authors:
Georgy L. Gimel'farb;Jian Quan Zhong
Affiliations:
-;-
Venue:
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
Year:
2000

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Abstract

We consider the potentialities of matching multiple views of a 3D scene by the least square correlation provided that relative projective geometric distortions of the images are affnely approximated. The affine transformation yielding the (sub)optimal match is obtained by combining an exhaustive and directed search in the parameter space. The directed search is performed by a proposed modification of the Hooke-Jeeves unconstrained optimization. Experiments with the RADIUS multiple-view images of a model board show a feasibility of this approach.