Robust Non-Rigid Registration with Reweighted Position and Transformation Sparsity

Non-rigid registration is challenging because it is ill-posed with high degrees of freedom and is thus sensitive to noise and outliers. We propose a robust non-rigid registration method using reweighted sparsities on position and transformation to estimate the deformations between 3-D shapes. We for...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics 2019-06, Vol.25 (6), p.2255-2269
Hauptverfasser: Li, Kun, Yang, Jingyu, Lai, Yu-Kun, Guo, Daoliang
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Sprache:eng
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