Jiguang Yue

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The paper proposes a robust framework for 3D facial movement tracking in real time using a monocular camera. It is designed to estimate the 3D face pose and local facial animation such as eyelid movement and mouth movement. The framework firstly utilizes the Discriminative Shape Regression method to locate the facial feature points on the 2D image and fuses(More)
Eye state estimation has a wide range of potential applications, such as human-computer interaction, driver fatigue monitoring system and facial expression recognition. The commonly used feature-based methods and motion-based methods are easy to be influenced by head pose variation or occlusion. Recently the appearance-based methods are arising. In this(More)
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