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Histogram Analysis in Separated Region for Face Contour Extraction under Various Environmental Condition  

Do, Jun-Hyeong (Constitutional Biology and Medical Engineering Research Center, KIOM)
Kim, Keun-Ho (Constitutional Biology and Medical Engineering Research Center, KIOM)
Kim, Jong-Yeol (Constitutional Biology and Medical Engineering Research Center, KIOM)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.47, no.1, 2010 , pp. 1-8 More about this Journal
Abstract
Some methods employing the Active Contour Model have been widely used to extract face contour. Their performance, however, depends on the initial position of the model and the coefficients of the energy function which should be reconsidered whenever illumination and environmental condition of an input image is changed. Additionally, the number of points in the contour model should increase drastically in order to extract a fine contour. In this paper, we thus propose a novel approach which extracts face contour by segmenting the face region with threshold values obtained by a histogram analysis technique in the separated region of input image. The proposed method shows good performance under various illumination and environmental condition since it extracts face contour by considering the characteristics of the input image.
Keywords
face contour; histogram analysis; illumination condition; environmental condition;
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Times Cited By KSCI : 2  (Citation Analysis)
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