Nesti-Net: Normal estimation for 3D Point Clouds

Important links:  [paper], [code], [video],[poster] Abstract We propose a normal estimation method for unstructured 3D point clouds. This method, called Nesti-Net, builds on a new local point cloud representation which consists of multi-scale point statistics (MuPS), estimated on a local coarse Gaussian grid. This representation is suitable input to a CNN architecture. The normals are […]