Title : 
A hybrid face detection approach for real-time depolyment on mobile devices
         
        
            Author : 
Rahman, Mohammad ; Kehtarnavaz, Nasser ; Ren, Jianfeng
         
        
            Author_Institution : 
Dept. of Electr. Eng., Univ. of Texas at Dallas, Dallas, TX, USA
         
        
        
        
        
        
            Abstract : 
Although there are many face detection algorithms in the literature, only a handful of them meet the real-time constraints of a software-based solution without using any dedicated hardware engine. This paper presents a real-time and robust solution for mobile platforms which in general have limited computation and memory resources as compared to PC platforms. This solution involves combining our two previous real-time implementations for mobile platforms to address the shortcoming of each implementation. The first implementation provides an online or on-the-fly light source calibration for the second implementation which is found to be robust to various face poses or orientations. The real-time results obtained on an actual mobile platform indicate both the real-time and robustness capabilities of this hybrid face detection solution.
         
        
            Keywords : 
face recognition; mobile computing; real-time systems; face detection; mobile devices; real-time depolyment; software-based solution; Clustering algorithms; Color; Coprocessors; Face detection; Hardware; Image processing; Mobile computing; Pixel; Robustness; Skin; Face detection; mobile platform implementation; real-time face detection; robust face detection;
         
        
        
        
            Conference_Titel : 
Image Processing (ICIP), 2009 16th IEEE International Conference on
         
        
            Conference_Location : 
Cairo
         
        
        
            Print_ISBN : 
978-1-4244-5653-6
         
        
            Electronic_ISBN : 
1522-4880
         
        
        
            DOI : 
10.1109/ICIP.2009.5414361