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Article Dans Une Revue Image and Vision Computing Année : 2011

Central catadioptric image processing with geodesic metric

Résumé

Because of the distortions produced by the insertion of a mirror, catadioptric images cannot be processed similarly to classical perspective images. Now, although the equivalence between such images and spherical images is well known, the use of spherical harmonic analysis often leads to image processing methods which are more difficult to implement. In this paper, we propose to define catadioptric image processing from the geodesic metric on the unitary sphere. We show that this definition allows to adapt very simply classical image processing methods. We focus more particularly on image gradient estimation, interest point detection, and matching. More generally, the proposed approach extends traditional image processing techniques based on Euclidean metric to central catadioptric images. We show in this paper the efficiency of the approach through different experimental results and quantitative evaluations.
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Dates et versions

hal-00647150 , version 1 (30-04-2018)

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Cédric Demonceaux, Pascal Vasseur, Yohan Fougerolle. Central catadioptric image processing with geodesic metric. Image and Vision Computing, 2011, 29 (12), pp.840-849. ⟨10.1016/j.imavis.2011.09.007⟩. ⟨hal-00647150⟩
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