Neural network based facial analysis using facial landmarks and associated confidence values
US11934955B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2022 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Oct 31, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/193
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for more accurate and robust determination of subject characteristics from an image of the subject. One or more machine learning models receive as input an image of a subject, and output both facial landmarks and associated confidence values. Confidence values represent the degrees to which portions of the subject's face corresponding to those landmarks are occluded, i.e., the amount of uncertainty in the position of each landmark location. These landmark points and their associated confidence values, and/or associated information, may then be input to another set of one or more machine learning models which may output any facial analysis quantity or quantities, such as the subject's gaze direction, head pose, drowsiness state, cognitive load, or distraction state.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.