Patent · US Active

Neural network architecture for face tracking

US11803996B2 · kind B2 · utility

0Cited by

1References

19Claims

0Family size

Assignee

Lemon Inc. · KR

Inventors

Wanchun Ma · Los Angeles, US
Shuo Cheng · Los Angeles, US
Chao Wang · Los Angeles, US
Michael Leong Hou Tay · Los Angeles, US
Linjie Luo · Los Angeles, US

Key dates

Filing date	Jul 30, 2021
Grant date	Oct 31, 2023
Priority date	—
Expiry date	Sep 11, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06T2215/16
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Techniques for face tracking comprise receiving landmark data associated with a plurality of images indicative of at least one facial part. Representative images corresponding to the plurality of images may be generated based on the landmark data. Each representative image may depict a plurality of segments, and each segment may correspond to a region of the at least one facial part. The plurality of images and corresponding representative images may be input into a neural network to train the neural network to predict a feature associated with a subsequently received image comprising a face. An animation associated with a facial expression may be controlled based on output from the trained neural network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.