3D FACE MODEL CONSTRUCTION BASED ON KINECT FOR FACE RECOGNITION
學年 103
學期 2
發表日期 2015-07-18
作品名稱 3D FACE MODEL CONSTRUCTION BASED ON KINECT FOR FACE RECOGNITION
作品名稱（其他語言）
著者 Hsieh, Ching-Tang;Huang, Yi;Chen, Ting-Wen;Chen, Li-Ming
作品所屬單位 電機工程學系暨研究所
出版者 Academy of Taiwan Information Systems Research (ATISR)
會議名稱 International Conference on Internet Studies 2015 (NETs 2015)
會議地點 Tokyo, Japan
摘要 We propose a simpler and faster method to recognize face. First, we use Kinect 
 to detect frontal face and get depth image information with face, then we portrayed 
 face in OpenGL to construct a three-dimensional face model based on the depth 
 information. The face model also retains texture information of the original face 
 images, and to create a complete change depth of face. It has a good result of 
 repairing the distortion in side face. We can get a set face images with different angles 
 by the method proposed, In recognition part, we use PCA(Principal Component 
 Analysis) to reduce the dimensions, and classified with SVM(Support Vector 
 Machine). The experiments show that the side face recognition can have good results.
關鍵字 Face Recognition, PCA, SVM, Kinect
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20150718~20150719
通訊作者 Chen, Ting-Wen; Chen, Li-Ming;
國別 JPN
公開徵稿 Y
出版型式 電子版
出處 International Conference on Internet Studies (NETs 2015)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103468 )

機構典藏連結