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This paper proposes a simple spatial-temporal smoothness based method forsolving dense non-rigid structure-from-motion (NRSfM). First, we revisit thetemporal smoothness and demonstrate that it can be extended to dense casedirectly. Second, we propose to exploit the spatial smoothness by resorting tothe Laplacian of the 3D non-rigid shape. Third, to handle real world noise andoutliers in measurements, we robustify the data term by using the $L_1$ norm.In this way, our method could robustly exploit both spatial and temporalsmoothness effectively and make dense non-rigid reconstruction easy. Our methodis very easy to implement, which involves solving a series of least squaresproblems. Experimental results on both synthetic and real image dense NRSfMtasks show that the proposed method outperforms state-of-the-art densenon-rigid reconstruction methods.

Dense Non-rigid Structure-from-Motion Made Easy - A Spatial-Temporal Smoothness based Solution