3D Angle Searching System with PSO for Face Recognition
學年 101
學期 1
出版（發表）日期 2013-01-01
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
單位 淡江大學電機工程學系
出版者 Stafa-Zurich: Trans Tech Publications Ltd.
著錄名稱、卷期、頁數 Applied Mechanics and Materials 284-287, pp.2950-2954
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 Face Recognition; Particle Swarm Optimization; PSO
語言 en
ISSN 1660-9336 1662-7482
期刊性質 國外
收錄於 EI
產學合作
通訊作者 Hsieh, Ching-Tang
審稿制度 是
國別 CHE
公開徵稿
出版型式 電子版 紙本
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