Abstract
A robust and efficient human face detection system that can detect multiple faces in various surroundings is presented in this paper. The proposed system consists of two principal parts. The first part is to search for the potential face regions. The second part is to perform face verification task. Our system can conquer different size, different lighting condition, varying pose and expression, and noise and defocus problems. In addition to overcome the problem of partial occlusion of mouth and sunglasses, the color segmentation process can successfully extract skin color from complex backgrounds. Experimental results demonstrate that an approximately 98 % success rate is achieved. The experimental results reveal that the proposed method is better than traditional methods in terms of efficiency and accuracy.
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References
T. K. Leung, M. C. Burl, and P. Perona, “Finding faces in clustered scenes using random labeled graph matching”, in Proc. Computer Vision and Pattern Recognition, Cambridge, Mass., Jun. 1995, pp. 637–644.
H. A. Rowley, S. Baluja, and T. Kanade, “Human face detection in visual scenes”, Tech. Rep. CMU-CS-95-158R, Carnegie Mellon University, 1995. (http://www.cmu.edu/~har/faces.html)
S. Y. Lee, Y. K. Ham, and R. H Park, “Recognition of human front faces using knowledge-based feature extraction and neuro-fuzzy algorithm”, Pattern Recognition, vol. 29, no. 11, pp. 1863–1876, 1996.
P. Juell and R. Marsh, “A hierarchical neural network for human face detection”, Pattern Recognition, vol. 29, no. 5, pp. 781–787, 1996.
K. Sobottka and I. Pitas, “Extraction of facial regions and features using color and shape information”, in Proc. 13th International Conference on Pattern Recognition, Vienna, Austria, Aug. 1996, pp. 421–425.
H. Wu, Q. Chen, and M. Yachida, “A fuzzy-theory-based face detector”, in Proc. 13th International Conference on Pattern Recognition, Vienna, Austria, Aug. 1996.
C. C. Han, H. Y. Mark Liao, G. J. Yu, and L. H. Chen, “Fast face detection via morphology-based pre-processing”, in Proc. 9th International Conference on Image Analysis and Processing, Florence, Italy, September 17–19, 1997
Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing”, copyright © 1992 by Addison-Wesley Publishing Company, Inc.
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© 2000 Springer-Verlag Berlin-Heidelberg
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Lin, C., Fan, KC. (2000). A Color-Triangle-Based Approach to the Detection of Human Face. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_36
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DOI: https://doi.org/10.1007/3-540-45482-9_36
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