基于色相图像处理的人眼定位

2007 International Symposium on Intelligent Signal Processing and Communication Systems Pub Date : 2007-11-01 DOI:10.1109/ISPACS.2007.4445991

Wentao Wang, Chao Xu, Hong Shen

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引用次数: 8

摘要

提出了一种基于色相图像处理的人眼定位方法。首先，对基于肤色信息的人脸提取方法进行改进，采用前额皮肤定位和唇部检测;其次，在色调图像中使用垂直投影代替其他作品中强度或边缘图像的水平投影。最后，利用峰值提取算法定位眼球中心。由于不使用梯度或其他耗时的计算，该方法非常省时。实验结果表明，在CPU为2.25 GHz的AMD Sempron TM 2500+ PC上，320 × 240彩色图像定位双眼中心需要8 ms。平均检出率约为95.25%。

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Eye localization based on hue image processing

A new eye localization method based on hue image processing is proposed in this paper. First, face extraction method based on skin-color information is improved by forehead skin localization and lip detection. Second, vertical projection in hue image is used instead of horizontal projection in intensity or edge images in other works. At last, the eye center is located by a peak value extraction algorithm. This method is time efficient as no gradient or other time consuming computations are used. The experiment result shows that a 320times240 color image needs 8 ms to locate the centers of both eyes on a PC with an AMD Sempron TM 2500+ at 2.25 GHz CPU. The average detection rate is about 95.25%.

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2007 International Symposium on Intelligent Signal Processing and Communication Systems

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