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复杂背景下人眼自动定位

Locating Human Eyes in Complex Background

  • 摘要: 针对复杂背景下静态人脸灰度图像,提出一种人眼自动定位方法.首先基于人脸几何特征先验知识,建立人眼位置的判定准则,对分割阈值范围进行粗估计;然后采用分割阈值递增法,并结合人眼位置判定准则,判定分割图像中双眼黑块是否出现;最后利用二维相关系数作为对称相似性测度,检验检测出的双眼黑块的真实性.

     

    Abstract: Based on geometrical facial features and thresholding,this paper presents a novel method for automatically locating human eyes in grayscale still images with complex background.A determination criterion of eye location is established by the priori knowledge of geometrical facial features.A range of threshold values that would separate eye blocks from others in a segmented facial image is estimated from the facial image histogram.With the progressive increase of the threshold by an appropriate step in that range,the size of existing blocks in the segmented facial image will expand,some existing blocks will merge into one block,and some new blocks will emerge.Once two eye blocks appear from the segmented image,they will be detected by the determination criterion of eye location.A 2-D correlation coefficient is used as a symmetry similarity measure to check the truth of detected eyes.

     

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