Dense depth estimation of image data
US10580158B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 3, 2017 |
| Grant date | Mar 3, 2020 |
| Priority date | — |
| Expiry date | Feb 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, devices, and methods are described for generating dense depth estimates, and confidence values associated with such depth estimates, from image data. A machine learning algorithm can be trained using image data and associated depth values captured by one or more LIDAR sensors providing a ground truth. When the algorithm is deployed in a machine vision system, image data and/or depth data can be used to determine dense depth estimates for all pixels of the image data, as well as confidence values for each depth estimate. Such confidence values may be indicative of how confident the machine learned algorithm is of the associated depth estimate.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.