Abstract
In this paper we propose a fast and efficient algorithm for segmenting a face suitable for recognition from a video sequence. We first obtain a coarse face region using skin color, then using dynamic template matching the face is efficiently segmented at varying scale and pose in real time. We have also developed and tested some heuristics which localizes only the face region, even when subjects are wearing skin color dress. The segmented face is then handed over to a recognition algorithm based on principal component analysis and linear discriminant analysis. The on-line face detection, segmentation and recognition algorithm takes an average of 0.06 sec on a 3.2 GHz P4 machine.
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R. Srikantaswamy: He received his M. Tech in Industrial Electronics in 1995 form University of Mysore, India. He is working as an Assistant Professor in the Department of Electronics and Communication. His research interests include Computer vision and Pattern Recognition, Neural networks and Image Processing.
R. D. Sudhaker Samuel: He received his M. Tech degree in Industrial Electronics in 1986 from the University of Mysore, India and his Ph.D. in Computer Science and Automation-Robotics in 1995 from Indian Institute of Science, Bangalore, India. He is working as a Professor and the Head in the Department of Electronics and Communication, Sri Jayachamarajendra of Engineering, Mysore, India. His research interests include Industrial Automation, VLSI design, Robotics, Embedded systems and Biometrics
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Srikantaswamy, R., Sudhaker Samuel, R.D. A real time implementation of a pose invariant face recognition engine with a novel face segmentation algorithm. J Vis 9, 331–338 (2006). https://doi.org/10.1007/BF03181680
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DOI: https://doi.org/10.1007/BF03181680