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Sparse Representations for Range Data Restoration

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2 Author(s)
Mahmoudi, M. ; Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA ; Sapiro, G.

In this paper, the problem of denoising and occlusion restoration of 3-D range data based on dictionary learning and sparse representation methods is explored. We apply these techniques after converting the noisy 3-D surface into one or more images. We present experimental results on the proposed approaches.

Published in:

Image Processing, IEEE Transactions on  (Volume:21 ,  Issue: 5 )