Abstract
According to the situation of the traditional Adaboost algorithm can’t effectively detect multi-pose, skin color segmentation and Adaboost used to detect face is presented in this paper. First, the general face region-Region of interesting (ROI) is detected with skin color segmentation to divide face and background, and then Adaboost detector is used to detect this region. The experiment result shows multi-pose face can be well detected by the algorithm combing color segmentation and Adaboost.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, R., Tan, GX., Ning, SH. (2011). The Research of Multi-pose Face Detection Based on Skin Color and Adaboost. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_82
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DOI: https://doi.org/10.1007/978-3-642-23235-0_82
Publisher Name: Springer, Berlin, Heidelberg
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