i2i - 3D Visual Communication
At Microsoft Research in Cambridge we are developing new machine vision algorithms to enhance desktop-based visual communication. The i2i technology delivers: smart-framing for automatic camera management and optimized bandwidth usage; background processing and substitution for attention focusing and privacy protection and three-dimensional emoticon insertion.
Publications
2009
- Michael Bleyer, Margrit Gelautz, Carsten Rother, and Christoph Rhemann, A Stereo Approach that Handles the Matting Problem via ImageWarping, in CVPR, 2009
2007
- Andrew Fitzgibbon, Duncan Robertson, Antonio Criminisi, Srikumar Ramalingam, and Andrew Blake, Learning Priors for Calibrating Families of Stereo Cameras, in Proc. IEEE Intl. Conference on Computer Vision (ICCV), 2007
- Thomas Deselaers, Antonio Criminisi, John Winn, and Ankur Agarwal, Incorporating On-demand Stereo for Real Time Recognition, in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2007
2006
- Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall Tappen, and Carsten Rother, A Comparative Study of Energy Minimization Methods for Markov Random Fields, in Proc. European Conference in Computer Vision (ECCV), Springer-Verlag, June 2006
- Vladimir Kolmogorov and Carsten Rother, Comparison of energy minimization algorithms for highly connected graphs, in Proc. European Conference in Computer Vision (ECCV), Springer-Verlag, June 2006
- Antonio Criminisi, Geoffrey Cross, Andrew Blake, and Vladimir Kolmogorov, Bilayer Segmentation of Live Video, in Proc. IEEE Computer Vision and Pattern Recognition (CVPR)., January 2006
- Vladimir Kolmogorov, Antonio Criminisi, Andrew Blake, Geoffrey Cross, and Carsten Rother, Probabilistic fusion of stereo with color and contrast for bi-layer segmentation, in Pattern Analysis and Machine Intelligence (PAMI), no. MSR-TR-2005-35, pp. 18, January 2006
2005
- Vladimir Kolmogorov, Antonio Criminisi, Andrew Blake, Geoffrey Cross, and Carsten Rother, Probabilistic fusion of stereo with color and contrast for video segmentation, no. MSR-TR-2005-36, March 2005
- Andrew Blake, Antonio Criminisi, Geoffrey Cross, Vladimir Kolmogorov, and Carsten Rother, Fusion of stereo, color and contrast, in ISRR, January 2005
2004
- Philip H.S. Torr and Antonio Criminisi, Dense Stereo Using Pivoted Dynamic Programming, in Image and Vision Computing (IVC), no. MSR-TR-2002-51, pp. 19, January 2004
- Antonio Criminisi and Andrew Blake, The SPS Algorithm: Patching Figural Continuity and Transparency by Split-Patch Search, in Proc. IEEE Computer Vision and Pattern Recognition (CVPR), January 2004
2003
- Andrew Blake, Philip H.S. Torr, Ingemar Cox, and Antonio Criminisi, Estimating uncertainty in dense stereo disparity maps, no. MSR-TR-2003-93, March 2003
- Antonio Criminisi, Jamie Shotton, Andrew Blake, Carsten Rother, and Philip H.S. Torr, Efficient Dense Stereo and Novel-view Synthesis for Gaze Manipulation in One-to-one Teleconferencing, no. MSR-TR-2003-59, January 2003
