资源论文Shading-based Shape Refinement of RGB-D Images

Shading-based Shape Refinement of RGB-D Images

2019-12-10 | |  82 |   51 |   0

Abstract

We present a shading-based shape refifinement algorithm which uses a noisy, incomplete depth map from Kinect to help resolve ambiguities in shape-from-shading. In our framework, the partial depth information is used to overcome bas-relief ambiguity in normals estimation, as well as to assist in recovering relative albedos, which are needed to reliably estimate the lighting environment and to separate shading from albedo. This refifinement of surface normals using a noisy depth map leads to high-quality 3D surfaces. The effectiveness of our algorithm is demonstrated through several challenging real-world examples

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