Toward robust face analysis method of non-cooperative persons in stereo color image sequences
Machine Graphics & Vision International Journal
Real-time capable method for facial expression recognition in color and stereo vision
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Facial feature extraction using a probabilistic approach
Image Communication
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This paper describes a method to perform face pose estimation and high resolution facial feature extraction on the basis of stereoscopic color images. Unlike other approaches no light projection is required at running time. In our method face detection is based on color driven clustering of 3D points derived from stereo. A mesh model is registered with the post-processed face cluster using a variant of the Iterative Closest Point algorithm (ICP). Pose is derived from correspondence. Then, pose and model information is used for face normalization and facial feature localization. Results show, stereo and color are powerful cues for finding the face and its pose under a wide range of poses, illuminations and expressions (PIE). Head orientation may vary in out of plane rotations up to 卤 45°.