Methods and systems for semantic scene completion for sparse 3D data
US12079970B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 1, 2021 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Jul 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.