Face Mosaicing for Pose Robust Video-Based Recognition
Face Mosaicing for Pose Robust Video-Based Recognition
- Neue Suche nach: Liu, Xiaoming
- Neue Suche nach: Chen, Tsuhan
- Neue Suche nach: Liu, Xiaoming
- Neue Suche nach: Chen, Tsuhan
Abstract This paper proposes a novel face mosaicing approach to modeling human facial appearance and geometry in a unified framework. The human head geometry is approximated with a 3D ellipsoid model. Multi-view face images are back projected onto the surface of the ellipsoid, and the surface texture map is decomposed into an array of local patches, which are allowed to move locally in order to achieve better correspondences among multiple views. Finally the corresponding patches are trained to model facial appearance. And a deviation model obtained from patch movements is used to model the face geometry. Our approach is applied to pose robust face recognition. Using the CMU PIE database, we show experimentally that the proposed algorithm provides better performance than the baseline algorithms. We also extend our approach to video-based face recognition and test it on the Face In Action database.
Dokumentinformationen
Face Mosaicing for Pose Robust Video-Based Recognition
Computer Vision – ACCV 2007 ; 9 ; 662-671
Lecture Notes in Computer Science ; 4844 , 9
2007-01-01
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Face Recognition , Training Image , Appearance Model , Facial Appearance , Geometric Deviation Computer Science , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Artificial Intelligence (incl. Robotics) , Biometrics , Algorithm Analysis and Problem Complexity
Ähnliche Titel
Motion Constraints for Video Mosaicing
| British Library Conference Proceedings | 2006
Efficient video mosaicing based on motion analysis
| IEEE | 2005
Efficient Video Mosaicing Based on Motion analysis
| British Library Conference Proceedings | 2005
VideoBrush™: Experiences with Consumer Video Mosaicing
| British Library Conference Proceedings | 1998