Estimation of human orientation in images using depth information from a depth camera
US11164327B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2016 |
| Grant date | Nov 2, 2021 |
| Priority date | — |
| Expiry date | Aug 5, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/161
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for estimation of human orientation and facial pose, in images that include depth information. A methodology embodying the techniques includes detecting a human in an image generated by a depth camera and estimating an orientation category associated with the detected human. The estimation is based on application of a random forest classifier, with leaf node template matching, to the image. The orientation category defines a range of angular offsets relative to an angle corresponding to the human facing the depth camera. The method also includes performing a three dimensional (3D) facial pose estimation of the detected human, based on detected facial landmarks, in response to a determination that the estimated orientation category includes the angle corresponding to the human facing the depth camera.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.