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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liang Tao Kwan, H.K. |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Electron. Eng. & Inf. Sci., Anhui Univ., Hefei, China (Liang Tao) |
| Abstract | Based on geometrical facial features and image segmentation, this paper presents a novel algorithm for automatic localization of human eyes in grayscale still images with complex backgrounds. First of all, an eye location determination criterion is established by the a 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 eye location determination criterion. Finally, the 2D 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 detection result, such that eyes can be accurately located. The experimental results demonstrate the high efficiency of the algorithm in runtime and its correct localization rate. |
| Sponsorship | IEEE IEEE Circuits & Syst. Soc |
| File Size | 432907 |
| File Format | |
| ISBN | 0780374487 |
| DOI | 10.1109/ISCAS.2002.1010792 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans Eyes Image segmentation Pixel Facial features Gray-scale Face recognition Face detection Information science Histograms |
| Content Type | Text |
| Resource Type | Article |
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