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Applying mixed Gaussian skin models to the automatic face detection

  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

How to detect faces in complex color images is still a challenging problem. We propose an automatic face detection algorithm which consists of five stages: mixed skin model, iterative threshold algorithm, morphological operation, region growing and shape and size restraint. Of these stages, the skin model here we established is based on the mixed Gaussian distributions on two different color spaces, which achieves better results than other methods. Experimental results show that our algorithm can work very well in the color images which are frontal, side and tiled under varying conditions and complex backgrounds.

源语言英语
主期刊名Machine Learning for Signal Processing XIV - Proceedings of 2004 IEEE Signal Processing Society Workshop
编辑A. Barros, J. Principe, J. Larsen, T. Adali, S. Douglas
599-608
页数10
出版状态已出版 - 2004
活动Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop - Sao Luis, 巴西
期限: 29 9月 20041 10月 2004

出版系列

姓名Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop

会议

会议Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop
国家/地区巴西
Sao Luis
时期29/09/041/10/04

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