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:Fast Gender Recognition by Using a Shared-Integral-Image Approach
學年97
學期2
發表日期2009/04/19
作品名稱Fast Gender Recognition by Using a Shared-Integral-Image Approach
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IEEE Computer Society
會議名稱Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
會議地點Taipei, Taiwan
摘要We develop a new approach for gender recognition. In this paper, 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 a gender identifier. We then use nonlinear support vector machines for classification, and obtain more accurate identification results.
關鍵字AdaBoost;Gender Recognition;Integral Image;Real AdaBoost;Support Vector Machine
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20090419~20090424
通訊作者
國別中華民國
公開徵稿Y
出版型式
出處Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009), pp.521-524
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