教師資料查詢 | 類別: 會議論文 | 教師: 顏淑惠 Yen Shwu-huey (瀏覽個人網頁)

標題:Face Detection Based on Skin Color Segmentation and Neural Network
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
語言英文
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
國別中國
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
相關連結
SDGs
Google+ 推薦功能,讓全世界都能看到您的推薦!