會議論文
| 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 | en |
| 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 | TWN |
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75807 ) |