DocumentCode :
657899
Title :
Rotational Invariant Face Detection on a Mobile Device
Author :
Guanghui Ma ; Weiliang Meng ; Shibiao Xu ; Xiaopeng Zhang
Author_Institution :
LIAMA-NLPR, Inst. of Autom., Beijing, China
fYear :
2013
fDate :
14-15 Sept. 2013
Firstpage :
229
Lastpage :
232
Abstract :
In this paper we propose a rotation invariant face detection algorithm to detect the face on the mobile devices. Due to the performance limit on the mobile devices, complex face detection process must be avoided in order to generate a fast detection. Most proposed face detection algorithms are highly rotational variant, which means only upright face can be detected in the image, and those existed rotational invariant face detection algorithms are too complicated to be suitable for the mobile devices. Our algorithm can detect non-upright face in the image with an efficient process implemented on the mobile device (Google Nexus 7 tablet), and has different detection ranges adapting to different user choices. The experiment results reveal the validity of our proposed algorithm. Meanwhile, our algorithm can be easily implemented on other mobile systems, such as Windows Phone, iPhone and so on.
Keywords :
face recognition; mobile computing; Google Nexus 7 tablet; Windows Phone; iPhone; mobile devices; mobile systems; nonupright face detection; rotation invariant face detection algorithm; user choices; Classification algorithms; Detectors; Face; Face detection; Feature extraction; Mobile communication; Mobile handsets; android; face detection; mobile platforms; opencv; rotation invariant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality and Visualization (ICVRV), 2013 International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/ICVRV.2013.66
Filename :
6689423
Link To Document :
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