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Items where Author is "Amberg, Brian"

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Number of items: 7.

Conference or Workshop Item

Amberg, Brian and Vetter, Thomas. (2011) GraphTrack: fast and globally optimal tracking in videos. In: IEEE conference on computer vision and pattern recognition (CVPR 2011) : proceedings. [S.l.], pp. 1209-1216.

Amberg, Brian and Vetter, Thomas. (2011) Optimal landmark detection using shape models and branch and bound. In: IEEE International conference on computer vision (ICCV 2011) : proceedings. [S.l.], pp. 455-462.

Paysan, Pascal and Knothe, Reinhard and Amberg, Brian and Romdhani, Sami and Vetter, Thomas. (2009) A 3D Face Model for Pose and Illumination Invariant Face Recognition. In: Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009 : AVSS '09 ; 2 - 4 Sept. 2009, Genoa, Italy ; proceedings / sponsored by IEEE Computer Society; IEEE Signal Processing Society. Piscataway, NJ, pp. 296-301.

Paysan, Pascal and Lüthi, Marcel and Albrecht, Thomas and Lerch, Anita and Amberg, Brian and Santini, Francesco and Vetter, Thomas. (2009) Face Reconstruction from Skull Shapes and Physical Attributes. In: Pattern Recognition : 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings. Berlin, Heidelberg, pp. 261-270.

Amberg, Brian and Blake, Andrew and Vetter, Thomas. (2009) On Compositional Image Alignment, with an Application to Active Appearance Models. In: IEEE Conference on Computer Vision and Pattern Recognition, 2009 : CVPR 2009 ; 20 - 25 June 2009, Miami [Beach], FL, USA. Piscataway, NJ, 1714 - 1721.

Amberg, Brian and Paysan, Pascal and Vetter, Thomas. (2009) Weight, Sex, and Facial Expressions : on the Manipulation of Attributes in Generative 3D Face Models. In: Advances in Visual Computing : 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009, Proceedings, Part I. Berlin, pp. 875-885.

Thesis

Amberg, Brian. Editing faces in videos. 2011, Doctoral Thesis, University of Basel, Faculty of Science.

This list was generated on Mon Dec 23 04:32:32 2024 CET.