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Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching

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Proceedings of the Fifth International Joint Conference on Artificial Intelligence. Vision. Pages 659-662.

Abstract

Parametric correspondence is a technique for matching images to a three dimensional symboli c reference map . An analytic camera model is used to predict the location and appearance of landmarks in the image , generating a projection for an assumed viewpoint. Correspondence is achieved by adjusting the parameters of the camera model until the appearances of the landmarks optimally match a symbolic description extracted from the image The matching of image and map features is performed rapidly by a new technique, called "chamfer matching" , that compares the shapes of two collections of shape fragments , at a cost proportional to linear dimension, rather than area These two techniques permit the matching of spatially extensive features on the basis of shape . which reduces the risk of ambiguous matches and the dependence on viewing conditions inherent in conventional image - based correlation matching.

Harry G. Barrow, Jay M. Tenenbaum, Robert C. Bolles, and Helen C. Wolf. 1977. Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching. In Proceedings of the Fifth International Joint Conference on Artificial Intelligence, IJCAI-77. IJCAI, 659–662. https://ijcai.org/proceedings/1977/158
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