教師資料查詢 | 類別: 期刊論文 | 教師: 許輝煌 Hsu Hui-huang (瀏覽個人網頁)

標題:Gender Recognition from Human Faces by Using a Shared-Integral-Image Approach
學年97
學期2
出版(發表)日期2009/05/01
作品名稱Gender Recognition from Human Faces by Using a Shared-Integral-Image Approach
作品名稱(其他語言)
著者Shen, Bao-cheng; Hsu, Hui-huang; Chen, Chu-song
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.101-112
摘要We develop an approach for gender recognition based on human faces. We combine rectangle features extracted from the human-face region into a rectangle-feature vector (RFV). The RFV is computationally fast and effective in encoding intensity variations of local regions of human face. By only using few rectangle features learned by AdaBoost, we present an effective gender identification approach. We then use nonlinear support vector machines for classification, and obtain more accurate recognition results. Experimental results show that our approach performs well for the Feret database.
關鍵字Gender Recognition; AdaBoost; Real Ad-aBoost; Support Vector Machine; Integral Image
語言英文
ISSN0974-3261
期刊性質國外
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國別印度
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