Method, system, and computer-readable medium for using face alignment model based on multi-task convolutional neural network-obtained data
US12033364B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 1, 2022 |
| Grant date | Jul 9, 2024 |
| Priority date | — |
| Expiry date | Feb 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving a facial image; receiving a facial image; and obtaining, using a multi-task convolutional neural network, a detected face location and a facial characteristic category set of a plurality of first facial characteristic categories; selecting a first face alignment model from a plurality of face alignment models based on the facial characteristic category set; and obtaining, using the first face alignment model, a plurality of facial landmarks. The first facial characteristic categories are arranged hierarchically. A hierarchy of the first facial characteristic categories includes a plurality of first levels corresponding to a plurality of corresponding facial characteristics. The facial characteristic category set includes the first facial characteristic categories of a path of the hierarchy of the first facial characteristic categories.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.