Color-metric tensor for catadioptric systems
Catadioptric cameras developed recently provide images with large field of view. Nevertheless, due to the use of mirrors, these images contain significant radial distortions that are necessary to handle when processing them. In this paper, we present the use of differential geometry for the construction of a hybrid structure tensor suited to the multicomponent catadioptric images. This structure tensor allows, at the same time, to take into account the geometry of the mirror and the information provided by the multidimensional nature of these images. Smoothing process and edge detection experiments illustrate the potential of our proposed approach and show higher quality of adaptive processing.