A Robust and Efficient Face Recognition System based on Luminance Distribution using Maximum Likelihood | |
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學年 | 101 |
學期 | 1 |
發表日期 | 2012-11-02 |
作品名稱 | A Robust and Efficient Face Recognition System based on Luminance Distribution using Maximum Likelihood |
作品名稱(其他語言) | |
著者 | Hsieh, Ching-Tang; Hu, Chia-Shing |
作品所屬單位 | 淡江大學電機工程學系暨研究所 |
出版者 | |
會議名稱 | Proceedings of the International Conference on Engineering and Technology Innovation 2012 |
會議地點 | Kaohsiung, Taiwan |
摘要 | In this paper, a robust and efficient face recognition system based on luminance distribution by using maximum likelihood estimation is proposed. The distribution of luminance components of the face region is acquired and applied to maximum likelihood test for face matching. The experimental results showed that the proposed method has a high recognition rate and requires less computation time. |
關鍵字 | Face Recognition, Maximum Likelihood. |
語言 | en |
收錄於 | |
會議性質 | 國際 |
校內研討會地點 | |
研討會時間 | 20121102~20121106 |
通訊作者 | heish@ee.tku.edu.tw |
國別 | |
公開徵稿 | Y |
出版型式 | |
出處 | |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/81385 ) |