3D Angle Searching System with PSO for Face Recognition
學年 101
學期 1
發表日期 2012-11-02
作品名稱 3D Angle Searching System with PSO for Face Recognition
作品名稱（其他語言）
著者 Hsieh, Ching-Tang; Hu, Chia-Shing; Shih, Meng-Shian
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 Conventional 2D face recognition methods often struggle when a subject's head is turned even slightly to the side. In this study, a face recognition system based on 3D head modeling that is able to tolerate facial rotation angles was constructed by leveraging the Open source graphic library (OpenGL) framework. To minimize the extensive angle searching time that often occurs in conventional 3D modeling, Particle Swarm Optimization (PSO) was used to determine the correct facial angle in 3D. This reduced the angle computation time to 6 seconds, which is significantly faster than other methods. Experimental results showed that successful ID recognition can be achieved with a high recognition rate of 90%.
關鍵字 PSO, FACE RECOGNITION.
語言 en_US
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 hsieh@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/987654321/81384 )

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