Matching of omnidirectional and perspective images using the hybrid fundamental matrix

Luis Puig 1 Josechu Guerrero 1 Peter Sturm 2
2 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : In this paper we present an automatic hybrid matching system mixing images coming from central catadioptric systems and conventional cameras. We analyze three models of hybrid fundamental matrices. We perform experiments with synthetic and real data to test the behavior of these three approaches. The sensitivy to noise of lifted coordinates induces to select the simplest model to build an automatic matching system between these kind of images. Scale invariant features with a simple unwarping tool are considered to help initial putative matching. Then a robust estimation gives an estimation of the hybrid fundamental matrix and allows to detect wrong matches. Experimental results show the feasibility of this system.
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Communication dans un congrès
OMNIVIS 2008 - 8th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras, Oct 2008, Marseille, France. 2008
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Luis Puig, Josechu Guerrero, Peter Sturm. Matching of omnidirectional and perspective images using the hybrid fundamental matrix. OMNIVIS 2008 - 8th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras, Oct 2008, Marseille, France. 2008. 〈inria-00325330〉

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