Invention Grant
- Patent Title: Methods and systems for semantic scene completion for sparse 3D data
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Application No.: US17492261Application Date: 2021-10-01
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Publication No.: US12079970B2Publication Date: 2024-09-03
- Inventor: Ran Cheng , Christopher George-R Agia , Bingbing Liu , Yuan Ren
- Applicant: HUAWEI TECHNOLOGIES CO., LTD.
- Applicant Address: CN Guangdong
- Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee Address: CN Shenzhen
- Agency: HUAWEI TECHNOLOGIES CO., LTD.
- Main IPC: G06T5/77
- IPC: G06T5/77 ; G06F18/21 ; G06F18/24 ; G06N3/04 ; G06T7/521 ; G06V20/56 ; G06V30/262 ; G01S7/48 ; G01S17/42 ; G01S17/89

Abstract:
Methods and systems for performing semantic scene completion of sparse 3D data are described. A frame of sparse 3D data is preprocessed into a sparse 3D tensor and a sparse 2D tensor. A partially completed 3D tensor is generated from the sparse 3D tensor using a 3D prediction network, and a semantically completed 2D tensor is generated from the sparse 2D tensor using a 2D prediction network. The partially completed 3D tensor is completed to obtain a semantically completed 3D tensor by assigning a given class label, which has been assigned to a given pixel in the semantically completed 2D tensor, to a voxel at a corresponding x-y coordinate in the partially completed 3D tensor.
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