Title : 
Precise eye localization with improved SDM
         
        
            Author : 
Mingcai Zhou;Xiying Wang;Haitao Wang;Jingu Heo;DongKyung Nam
         
        
            Author_Institution : 
Samsung Research Center-Beijing, SAIT China Lab Beijing, China
         
        
        
        
        
            Abstract : 
In this paper, we propose a precise and fast eye center localization method. The method is based on SDM [1] algorithm, which has achieved impressive performance in face alignment area. In this work, we further improve the basic SDM algorithm in two aspects: 1) employ the coarse to fine strategy to enhance the robustness to initialization; 2) utilize multiple nonlinear features to ensure the robustness while improve the accuracy. Experimental results on BioID database shows that our improved SDM achieves preferable localization accuracy against the state-of-the-art methods at a speed as fast as 2ms to locate two eyes.
         
        
            Keywords : 
"Shape","Feature extraction","Databases","Training","Face","Robustness","Lighting"
         
        
        
            Conference_Titel : 
Image Processing (ICIP), 2015 IEEE International Conference on
         
        
        
            DOI : 
10.1109/ICIP.2015.7351651