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1. (WO2018200316) OCTREE-BASED CONVOLUTIONAL NEURAL NETWORK

Pub. No.:    WO/2018/200316    International Application No.:    PCT/US2018/028458
Publication Date: Fri Nov 02 00:59:59 CET 2018 International Filing Date: Sat Apr 21 01:59:59 CEST 2018
IPC: G06T 17/00
G06N 3/04
Applicants: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventors: WANG, Pengshuai
LIU, Yang
TONG, Xin
Title: OCTREE-BASED CONVOLUTIONAL NEURAL NETWORK
Abstract:
The implementations of the subject matter described herein relate to an octree-based convolutional neural network. In some implementations, there is provided a computer-implemented method for processing a three-dimensional shape. The method comprises obtaining an octree for representing the three-dimensional shape. Nodes of the octree include empty nodes and non-empty nodes. The empty nodes exclude the three-dimensional shape and are leaf nodes of the octree, and the non-empty nodes include at least a part of the three-dimensional shape. The method further comprises for nodes in the octree with a depth associated with a convolutional layer of a convolutional neural network, performing a convolutional operation of the convolutional layer to obtain an output of the convolutional layer.