Hui-Wen Jeng

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In this paper, the Genetic Algorithms (GA) is used to learn the facial model consisting of eyes, nose and mouth for face validation. This facial model improves the detection rate for the Maximum-Likelihood (ML) head detector [9], which produces ellipse-like objects as face candidates, by applying a second validation stage to verify these candidates. In(More)
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