The Desargues Theorem to Build Matching Graph for N Images

R. Chellali, C. Maaoui, and J.-G. Fontaine (France)


Computer vision, Image matching, Fundamental Matrix, Trifocal Tensor, Desargues configuration.


In this paper, we propose a new approach for matching image points by exploiting minimal geometric knowledge and in a correspondanceless way. The idea underlying our approach is to use a generalization of the Desargues theorem in images sequence context. This approach allows the matching image points over a sequence without using correlation techniques. The corresponding points are calculated directly using the Desargues invariants. Examples on real and synthetic images are presented. Results are illustrated and discussed.

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