2013 | OriginalPaper | Chapter
Eye Localization from Infrared Thermal Images
Authors : Shangfei Wang, Peijia Shen, Zhilei Liu
Published in: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Publisher: Springer Berlin Heidelberg
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By using the knowledge of facial structure and temperature distribution, this paper proposes an automatic eye localization method from infrared thermal images. A facial structure consisting of 15 sub-regions is proposed to extract Haar-like features. Eight classifiers are learned from the features selected by Adaboost algorithm for left and right eye, respectively. A vote strategy is used to find the most likely eyes. Experimental results on the NVIE and Equinox databases show the effectiveness of our approach.