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31 July 2002 Detecting and locating human eyes in segmented facial images
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Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477057
Event: Second International Conference on Image and Graphics, 2002, Hefei, China
Abstract
This paper presents a novel algorithm for automatic localization of human eyes in grayscale still images with complex background based on geometrical facial features and image segmentation,. First of all, a determination criterion of eye location is established by the priori knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented facial image is estimated from the facial image histogram. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, the size of the 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. Finally, the 2-D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. In this way, the optimal threshold value can be automatically found based on the result of detection such that eyes can be accurately located. The experimental results demonstrate the high efficiency of the algorithm in runtime and correct localization rate.
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Liang Tao, Juan-juan Gu, Qing-wei Gao, and Zhenquan Zhuang "Detecting and locating human eyes in segmented facial images", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477057
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