Method for building a computer-implemented tool for assessment of qualitative features from face images
US10956716B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2019 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | May 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a method for building a neural network tool to determine, by processing a picture of a human face, a score representative of a qualitative feature of the face, including performing a training session of an initial neural network to assess, from the picture, an estimated age of the person. The initial neural network includes layers of neurons and associated weights, and each training session is performed on a first database of face images with associated ages, and each training session outputs an updated version of the neural network with adjusted weights. For each updated version of the initial neural network corresponding to a training session, evaluating an error of part of the initial neural network on another database of images with each associated with a reference score representing the qualitative feature, selecting the part of the initial neural network in the updated version corresponding to the minimum.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.