STEREOSCOPIC IMAGE INPAINTING USING SCENE GEOMETRY
Vicent Caselles, Alexandre Hervieux, Nicolas Papadakis, Aurélie Bugeau, Pau GargalloAbstract
In this paper we propose an algorithm for stereoscopic image inpainting, given the inpainting mask in both images. We also assume that depth map is known in one of the images of the stereo pair, taken as reference. This image is clustered in homogeneous color regions using a mean-shift procedure. In each clustered region, depths are fitted by planes and then extended into the mask. Then we inpaint the visible parts of each extended region using a modified exemplar-based inpainting algorithm. Finally, we extend the algorithm to stereoscopic image inpainting. We display some experiments showing the performance of the proposed algorithm.
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