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We present in this paper facial skin motion localization in a video sequence. When a face is under motion, a set of muscles, lip shape, eyebrows… are involved. The changes in successive images have direct effects on facial motion. Our work proposes an approach to detect points and areas that undergoes significant movement on a face under motion. Our method requires only simple devices: a webcam and...
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