Neural network system for stereo image matching
US11062471B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2020 |
| Grant date | Jul 13, 2021 |
| Priority date | — |
| Expiry date | May 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20228
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Stereo matching generates a disparity map indicating pixels offsets between matched points in a stereo image pair. A neural network may be used to generate disparity maps in real time by matching image features in stereo images using only 2D convolutions. The proposed method is faster than 3D convolution-based methods, with only a slight accuracy loss and higher generalization capability. A 3D efficient cost aggregation volume is generated by combining cost maps for each disparity level. Different disparity levels correspond to different amounts of shift between pixels in the left and right image pair. In general, each disparity level is inversely proportional to a different distance from the viewpoint.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.