1. Face detection based on skin color likelihood.
- Author
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Ban, Yuseok, Kim, Sang-Ki, Kim, Sooyeon, Toh, Kar-Ann, and Lee, Sangyoun
- Subjects
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BOOSTING algorithms , *COLOR image processing , *ERROR rates , *HUMAN skin color , *CLASSIFICATION , *FEATURE extraction , *STOCHASTIC models - Abstract
Abstract: We propose a face detection method based on skin color likelihood via a boosting algorithm which emphasizes skin color information while deemphasizing non-skin color information. A stochastic model is adapted to compute the similarity between a color region and the skin color. Both Haar-like features and Local Binary Pattern (LBP) features are utilized to build a cascaded classifier. The boosted classifier is implemented based on skin color emphasis to localize the face region from a color image. Based on our experiments, the proposed method shows good tolerance to face pose variation and complex background with significant improvements over classical boosting-based classifiers in terms of total error rate performance. [Copyright &y& Elsevier]
- Published
- 2014
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