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Proceedings Paper

Pose estimation and frontal face detection for face recognition
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Paper Abstract

This paper proposes a pose estimation and frontal face detection algorithm for face recognition. Considering it's application in a real-world environment, the algorithm has to be robust yet computationally efficient. The main contribution of this paper is the efficient face localization, scale and pose estimation using color models. Simulation results showed very low computational load when compare to other face detection algorithm. The second contribution is the introduction of low dimensional statistical face geometrical model. Compared to other statistical face model the proposed method models the face geometry efficiently. The algorithm is demonstrated on a real-time system. The simulation results indicate that the proposed algorithm is computationally efficient.

Paper Details

Date Published: 25 May 2005
PDF: 9 pages
Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); doi: 10.1117/12.603332
Show Author Affiliations
Eng Thiam Lim, Institute for Infocomm Research (Singapore)
Jiangang Wang, Institute for Infocomm Research (Singapore)
Wei Xie, Institute for Infocomm Research (Singapore)
Venkarteswarlu Ronda, Institute for Infocomm Research (Singapore)

Published in SPIE Proceedings Vol. 5817:
Visual Information Processing XIV
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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