Rotational Invariant Face Detection on a Mobile Device

Guanghui Ma, Weiliang Meng, Shibiao Xu, Xiaopeng Zhang
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引用次数: 1

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.
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移动设备上的旋转不变人脸检测
本文提出了一种旋转不变人脸检测算法,用于移动设备上的人脸检测。由于移动设备的性能限制,为了生成快速的检测结果,必须避免复杂的人脸检测过程。现有的人脸检测算法大多是高度旋转变异的,即图像中只能检测到直立的人脸,而现有的旋转不变人脸检测算法过于复杂,不适合移动设备。我们的算法可以在移动设备(Google Nexus 7平板电脑)上高效地检测图像中的非直立人脸,并且具有不同的检测范围以适应不同的用户选择。实验结果表明了该算法的有效性。同时,我们的算法可以很容易地在其他移动系统上实现,如Windows Phone, iPhone等。
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