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cs.CV2018
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
In this paper, 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 consist…
cs.CV2017★ 49 cited
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
The point cloud is gaining prominence as a method for representing 3D shapes, but its irregular format poses a challenge for deep learning methods. The common solution of transform…