Invention Grant
- Patent Title: Octree-based convolutional neural network
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Application No.: US16606653Application Date: 2018-04-20
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Publication No.: US11704537B2Publication Date: 2023-07-18
- Inventor: Pengshuai Wang , Yang Liu , Xin Tong
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Barta, Jones & Foley, PLLC
- Priority: CN 1710297300.4 2017.04.28
- International Application: PCT/US2018/028458 2018.04.20
- International Announcement: WO2018/200316A 2018.11.01
- Date entered country: 2019-10-18
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06F16/901 ; G06F17/15 ; G06N3/08

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.
Public/Granted literature
- US20200042863A1 OCTREE-BASED CONVOLUTIONAL NEURAL NETWORK Public/Granted day:2020-02-06
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