NDLI: Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time

Content Provider	IEEE Xplore Digital Library
Author	Zhiwei Zhu Qiang Ji
Copyright Year	2006
Description	Author affiliation: Zarnoff Corp. (Zhiwei Zhu)
Abstract	In this paper, a robust technique is proposed to detect and track a set of twenty-eight prominent facial features under various facial expressions and face orientations in real-time. Specifically, after the face image is captured from the camera, a trained face mesh is first employed to estimate a rough position for each facial feature based on the located eye positions. Subsequently, an accurate position is obtained for each facial feature by searching around its roughly estimated position. Once the facial features are located, by using the appearance information of each facial feature together with the geometry information among the facial features, a shape-constrained correction-based tracking mechanism is activated to track them in the subsequent image frames. Finally, the performance of the proposed technique is demonstrated through building a real-time facial feature tracking system that can detect and track a set of twenty-eight facial features automatically as soon as a person is sitting in front of the camera
Sponsorship	IEEE CPS
Starting Page	1092
Ending Page	1095
File Size	382604
Page Count	4
File Format	PDF
ISBN	0769525210
ISSN	10514651
DOI	10.1109/ICPR.2006.1013
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Facial features Face detection Facial animation Cameras Detectors Multi-stage noise shaping Shape measurement Lighting Economic indicators
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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