Rotational Invariant Face Detection On a Mobile Device
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.
face detection mobile platforms opencv rotation invariant android
Guanghui Ma Weiliang Meng Shibiao Xu Xiaopeng Zhang
LIAMA-NLPR,Institute of Automation,CAS,China
国际会议
西安
英文
229-232
2013-09-14（万方平台首次上网日期，不代表论文的发表时间）