O-CNN: octree-based convolutional neural networks for 3D shape analysis

We present O-CNN , an Octree-based Convolutional Neural Network (CNN) for 3D shape analysis. Built upon the octree representation of 3D shapes, our method takes the average normal vectors of a 3D model sampled in the finest leaf octants as input and performs 3D CNN operations on the octants occupied...

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Veröffentlicht in:	ACM transactions on graphics 2017-08, Vol.36 (4), p.1-11
Hauptverfasser:	Wang, Peng-Shuai, Liu, Yang, Guo, Yu-Xiao, Sun, Chun-Yu, Tong, Xin
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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