教師資料查詢 | 類別: 期刊論文 | 教師: 林慧珍 Lin Hwei-jen (瀏覽個人網頁)

標題:Face Detection using SVM-Based Classification
學年98
學期1
出版(發表)日期2009/08/01
作品名稱Face Detection using SVM-Based Classification
作品名稱(其他語言)
著者Yeh, Jih-Pin; Pai, I-Chun, Wang, Chun-Wei; Yang, Fu-Wen; Lin, Hwei-Jen
單位淡江大學資訊工程學系
出版者Allahabad: Pushpa Publishing House
著錄名稱、卷期、頁數Far East Journal of Experimental and Theoretical Artificial Intelligence 3(2), pp.113-123
摘要This paper proposes an improved version of our previously introduced face detection system based on skin color segmentation and neural networks. The new system, using a support vector machine (SVM) based method for learning and verification, 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 support vector machine. Experimental results reflect that the new version improves the verification accuracy of the previously proposed system.
關鍵字face detection; skin color segmentation; RGB color space; HSV color space; support vector machine;SVM
語言英文
ISSN0974-3261
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