Invention Grant
- Patent Title: Point cloud based 3D semantic segmentation
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Application No.: US16828987Application Date: 2020-03-25
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Publication No.: US11380086B2Publication Date: 2022-07-05
- Inventor: Kun Yu , Yan Hao , Lu Li , Zhiyong Zhu
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Law Offices of Liaoteng Wang
- Main IPC: G06V10/75
- IPC: G06V10/75 ; G06K9/62 ; G06N3/04 ; G06N3/08 ; G06V10/22

Abstract:
System and techniques are provided for three-dimension (3D) semantic segmentation. A device for 3D semantic segmentation includes: an interface, to obtain a point cloud data set for a time-ordered sequence of 3D frames, the 3D frames including a current 3D frame and one or more historical 3D frames previous to the current 3D frame; and processing circuitry, to: invoke a first artificial neural network (ANN) to estimate a 3D scene flow field for each of the one or more historical 3D frames by taking the current 3D frame as a reference frame; and invoke a second ANN to: produce an aggregated feature map, based on the reference frame and the estimated 3D scene flow field for each of the one or more historical 3D frames; and perform the 3D semantic segmentation based on the aggregated feature map.
Public/Granted literature
- US20210303912A1 POINT CLOUD BASED 3D SEMANTIC SEGMENTATION Public/Granted day:2021-09-30
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