Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration

8 Jun 2020Zheng DangFei WangMathieu Salzmann

While 3D-3D registration is traditionally tacked by optimization-based methods, recent work has shown that learning-based techniques could achieve faster and more robust results. In this context, however, only PRNet can handle the partial-to-partial registration scenario... (read more)

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