DocumentCode :
3493022
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
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
3233
Lastpage :
3236
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414361
Filename :
5414361
Link To Document :
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