Title : 
Face recognition across different poses using a single 2D model view
         
        
            Author : 
Du, Cheng ; Su, Guangda ; Lin, Xinggang
         
        
            Author_Institution : 
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
         
        
        
        
        
        
            Abstract : 
The pose problem is a difficult area of face recognition. Until now, we haven´t had a good method to tackle the problem. In this paper, a simple fronto-parallel face recovery method is presented, the method is simple and effective, it addresses the computationally expensive problem of current 3-D model pose recovery methods, experiments showed that the method can greatly enhance the recognition rate.
         
        
            Keywords : 
face recognition; 3D model pose recovery method; computationally expensive problem; face recognition; fronto parallel face recovery method; recognition rate; single 2D model; Automatic control; Computer graphics; Face detection; Face recognition; Head; Humans; Image databases; Image recognition; Information security; Laboratories;
         
        
        
        
            Conference_Titel : 
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
         
        
            Print_ISBN : 
0-7803-7925-X
         
        
        
            DOI : 
10.1109/RISSP.2003.1285673