Method and system for converting point cloud data for use with 2D convolutional neural networks
US10915793B2 · kind B2 · utility
15Cited by
6References
21Claims
0Family size
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Key dates
| Filing date | Nov 8, 2018 |
| Grant date | Feb 9, 2021 |
| Priority date | — |
| Expiry date | Apr 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/58
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for encoding 3D data for use with 2D convolutional neural networks (CNNs) are described. A set of 3D data is encoded into a set of one or more arrays. A 2D index of the arrays is calculated by projecting 3D coordinates of the 3D point onto a 2D image plane that is defined by a set of defined virtual camera parameters. The virtual camera parameters include a camera projection matrix defining the 2D image plane. Each 3D coordinate of the point is stored in the arrays at the calculated 2D index. The set of encoded arrays is provided for input to a 2D CNN, for training or inference.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.