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Facial expression analysis using 2D+3D facial feature tracking

Title
Facial expression analysis using 2D+3D facial feature tracking
Authors
Lee, Chan-SuChum, Sung YongLee, Sang-Heon
DGIST Authors
Lee, Sang-Heon
Issue Date
2014
Citation
Information (Japan), 17(3), 971-977
Type
Article
Article Type
Article
Keywords
3D Facial Motion TrackingActive Shape ModelsDepth CameraFacial AnimationMPEG-4
ISSN
1343-4500
Abstract
This paper presents a facial expression analysis system using the real-time tracking of a 3D camera. We first applied 2D facial motion tracking based on extended Active Shape Models (ASMs) from 2D texture images corresponding to captured 3D depth information. Three-dimensional facial motions are estimated based on the estimated feature point tracking from extended 2D facial motion tracking. From the estimated 3D facial motion using extended ASMs and depth maps, we extract MPEG-4 facial animation parameters (FAPs) from the 3D facial motion tracking, which provides more accurate estimation of facial motions invariant to view variations. Our experimental results for facial expression recognition using the Bosphorus database show better performance of facial expression recognition by 3D feature points (FPs) compared to 2D FPs after alignment of FPs, whereas direct distance measurement shows better performance by 2D FPs than by 3D FPs without alignment. ©2014 International Information Institute.
URI
http://hdl.handle.net/20.500.11750/2135
Publisher
International Information Institute Ltd.
Related Researcher
Files:
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Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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