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

標題:A Shared-Integral-Image Approach for Fast Gender Recognition
學年97
學期1
發表日期2008/11/21
作品名稱A Shared-Integral-Image Approach for Fast Gender Recognition
作品名稱(其他語言)
著者Shen, Bau-Cheng; Chen, Chu-Song; Hsu, Hui-Huang
作品所屬單位淡江大學資訊工程學系
出版者臺北縣淡水鎮 : 淡江大學
會議名稱第十三屆人工智慧與應用研討會=The 13th conference on artificial intelligence and applications
會議地點宜蘭縣, 臺灣
摘要In this paper, we develop a new approach for gender recognition. Our approach uses the rectangle feature vector (RFV) as a representation to identify humans' gender from their faces. The RFV is computationally fast and effective to encode intensity variations of local . regions of human face. By only using few rectangle features learned by AdaBoost, we present an effective gender identifier. We then use nonlinear support vector machines for classification, and obtain more accurate identification results. Experimental results show that our approach performs well for the Feret database.
關鍵字Gender Recognition;AdaBoost, Real AdaBoost;Support Vector Machine;Integral Image
語言英文
收錄於
會議性質國內
校內研討會地點蘭陽校園
研討會時間20081121~20081122
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本
出處第十三屆人工智慧與應用研討會論文集=The 13th conference on artificial intelligence and applications, pp.13-17
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