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Acquiring accurate dense depth maps is crucial for accurate 3D reconstruction. Current high quality depth sensors capable of generating dense depth maps are expensive and bulky, while compact low-cost sensors can only reliably generate sparse depth measurements. We propose a novel multilayer conditional random field (MCRF) approach to reconstruct a dense depth map of a target scene given the sparse...
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