Non-Rigid and Articulated Motion Analysis from Image Sequences
I hold the position of Reader in Computer Vision at the School of Eectronic Engineering and Computer Science, at Queen Mary University of London where I am a member of the Vision Laboratory .
My research area is Non-Rigid and Articulated Motion Analysis. My particular interest is on developing methods for accurate recovery of the 3D shape of deformable and articulated objects from monocular video sequences. I am the holder of an ERC Starting Grant funded by the European Research Council.
April 2012: I have been invited to lecture at the International Computer Vision Summer School ICVSS 2012 this July in Sicily.
April 2012: Opening (1 PhD studentship) - Starting Sept 2012. I am looking for an outstanding candidate to work on dense non-rigid and articulated 3D reconstruction from monocular video. If you are interested please email me directly.
December 2011: New papers accepted to IJCV and PAMI.
November 2011: Slides from the Tutorial on Non-Rigid Registration and Reconstruction I gave at ICCV 2011 together with Adrien Bartoli and Alessio Del Bue.
July 2011: New paper accepted to ICCV 2011.PDF CODE
Automated Articulated Structure and 3D Shape Recovery from Point Correspondences Joao Fayad, Chris Russell and Lourdes Agapito, in IEEE International Conference in Computer Vision (ICCV 2011 Barcelona, Spain, November 2011.
March 2011: New paper accepted to CVPR 2011.PDF CODE
Energy Based Multiple Model Fitting for Non-Rigid SFM Chris Russell, Joao Fayad and Lourdes Agapito, in IEEE Conference in Computer Vision and Pattern Recognition (CVPR 2011 Colorado Springs, USA, June 2011.