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Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models.

, , and . ICIP, page 901-904. IEEE, (2011)

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Registration of 3D facial surfaces using covariance matrix pyramids., , , and . ICRA, page 1002-1007. IEEE, (2010)Applying Bayes Markov chains for the detection of ATM related scenarios., , , , and . WACV, page 1-8. IEEE Computer Society, (2009)Fully Automatic Audiovisual Emotion Recognition: Voice, Words, and the Face., , , , , and . ITG Conference on Speech Communication, page 1-4. IEEE, (2012)Robust tracking of facial feature points with 3D Active Shape Models., , , and . ICIP, page 3829-3832. IEEE, (2010)Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU., , , and . CVPR Workshops, page 87-92. IEEE Computer Society, (2010)Using segmented 3D point clouds for accurate likelihood approximation in human pose tracking., , and . ICCV Workshops, page 406-413. IEEE Computer Society, (2011)Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models., , and . ICIP, page 901-904. IEEE, (2011)Construction of a 3D facial model for tracking and animation.. Technical University Munich, (2013)Towards using covariance matrix pyramids as salient point descriptors in 3D point clouds., , , , and . Neurocomputing, (2013)3d gesture recognition applying long short-term memory and contextual knowledge in a CAVE., , , , , , , and . MPVA@MM, page 33-36. ACM, (2010)