Matting-Based Stereo Refinement for Computational Photography

Abstract

We present a method for refining disparity maps generated by a stereo matcher for the purpose of computational photography. We automatically fill holes in disparity maps, remove noisy artefacts, and enhance visible object geometries based on available disparity and image data, for the purpose of generating visually appealing depth representations. The key… (More)
DOI: 10.1145/2683405.2683431

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