Deep Iterative Surface Normal Estimation

CVPR 2020 Jan Eric LenssenChristian OsendorferJonathan Masci

This paper presents an end-to-end differentiable algorithm for robust and detail-preserving surface normal estimation on unstructured point-clouds. We utilize graph neural networks to iteratively parameterize an adaptive anisotropic kernel that produces point weights for weighted least-squares plane fitting in local neighborhoods... (read more)

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