Joint head pose and facial landmark regression from depth images

Joint head pose and facial landmark regression from depth images

Abstract This paper presents a joint head pose and facial landmark regression method with input from depth images for realtime application. Our main contributions are: firstly, a joint optimization method to estimate head pose and facial landmarks, i.e., the pose regression result provides supervise...

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Bibliographic Details
Main Authors: Jie Wang, Juyong Zhang, Changwei Luo, Falai Chen
Format: Article
Language:English
Published: SpringerOpen 2017-05-01
Series:Computational Visual Media
Subjects:
head pose
facial landmarks
depth images
Online Access:http://link.springer.com/article/10.1007/s41095-017-0082-8

Internet

http://link.springer.com/article/10.1007/s41095-017-0082-8

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