會議論文

學年 94
學期 1
發表日期 2005-10-13
作品名稱 Face Detection Based on Skin Color Segmentation and Neural Network
作品名稱(其他語言)
著者 Lin, Hwei-jen; Wang, Shu-yi; Yen, Shwu-huey; Kao, Yang-ta
作品所屬單位 淡江大學資訊工程學系
出版者 IEEE中國類神經網路協會
會議名稱 Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
會議地點 Beijing, China
摘要 This paper proposes a human face detection system based on skin color segmentation and neural networks. The system consists of several stages. First, the system searches for the regions where faces might exist by using skin color information and forms a so-called skin map. After performing noise removal and some morphological operations on the skin map, it utilizes the aspect ratio of a face to find out possible face blocks, and then eye detection is carried out within each possible face block. If an eye pair is detected in a possible face block, a region is cropped according to the location of the two eyes, which is called a face candidate; otherwise it is regarded as a non-face block. Finally, each of the face candidates is verified by a 3-layer back-propagation neural network. Experimental results show that the proposed system results in better performance than the other methods, in terms of correct detection rate and capacity of coping with the problems of lighting, scaling, rotation, and multiple faces.
關鍵字
語言 en
收錄於 EI
會議性質 國際
校內研討會地點
研討會時間 20051013~20051015
通訊作者
國別 CHN
公開徵稿 Y
出版型式 紙本
出處 Neural Networks and Brain, 2005. ICNN&B '05. International Conference on, pp.1144-1149
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