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Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Cascade regression framework has been shown to be effective for facial landmark detection. It starts from an initial face shape and gradually predicts the face shape update from the local appearance features to generate the facial landmark locations in the next iteration until convergence. In this paper, we improve upon the cascade regression framework and propose the Constrained Joint Cascade Regression Framework (CJCRF) for simultaneous facial action unit recognition and facial landmark
doi:10.1109/cvpr.2016.370
dblp:conf/cvpr/WuJ16
fatcat:4yrtmrsknfbtbfo36ewl7hduqa