25 May 2005 Pose estimation and frontal face detection for face recognition
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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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eng Thiam Lim, Jiangang Wang, Wei Xie, and Venkarteswarlu Ronda "Pose estimation and frontal face detection for face recognition", Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); doi: 10.1117/12.603332; https://doi.org/10.1117/12.603332


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