Fast and accurate normal estimation for point clouds via patch stitching
This paper presents an effective normal estimation method adopting multi-patch stitching for
an unstructured point cloud. The majority of learning-based approaches encode a local
patch around each point of a whole model and estimate the normals in a point-by-point
manner. In contrast, we suggest a more efficient pipeline, in which we introduce a patch-
level normal estimation architecture to process a series of overlapping patches. Additionally,
a multi-normal selection method based on weights, dubbed as multi-patch stitching …
an unstructured point cloud. The majority of learning-based approaches encode a local
patch around each point of a whole model and estimate the normals in a point-by-point
manner. In contrast, we suggest a more efficient pipeline, in which we introduce a patch-
level normal estimation architecture to process a series of overlapping patches. Additionally,
a multi-normal selection method based on weights, dubbed as multi-patch stitching …
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