Vision at MSR Cambridge

We are working principally in the following areas of computer vision:

(click below to access demos and further information)

...including:

i2i for three-dimensional visual communication;

MSRC Stereo SDK. A fully functional, free C# SDK for stereo vision.

Test stereo data. Stereo images and sequences for other researchers to experiment with.

...including:

AutoCollage for summarizing photo collections;

Image Cosegmentation for object-driven photo browsing;

GrabCut for easy object cut and paste;

Patchworks for object removal and image inpainting and restoration;

Blender for seamless object insertion;

...including:

Interactive segmentation and colorization of high-resolution, n-dimensional image data;

automatic detection and recognition of anomalies;

real-time volumetric visualization.

...including:

Epitomic Location Recognition. Live recognition of classes of locations.

Object Class Recognition at a Glance. Live recognition of objects thrown on a desk.

Interactive Object Class Recognition. Efficient and compact supervised object class modelling.

Locus. Unsupervised object recognition and segmentation.

...including:

C-Slate for efficient remote document editing and game playing;

Phantom Presence for natural turn-taking and richer communication;

Live Action for automatic recognition of hand gestures, objects and touch detection.

...including:

Single View Metrology and the history of art for application of vision tools to understanding works of art.

3D video editing for inserting objects in videos;

3D photography for automatic reconstruction from multiple photographs;

3D Mars for the creation of 3D animations from anaglyphs of the red planet.

...including:

Exemplar-based tracking. A prize-winning tracking technique.

Scientific publications

Here is a selection of our most recent papers.

Press coverage

Here is what press has written about our work.

Announcements

Internships: We are looking for strong candidates for internship positions in machine learning, computer vision and information retrieval. These are aimed at students partway through their PhD, and are available throughout the year, not just over the summer. If you are interested in applying please click on the link below for detailed information and instructions.

Yes, I am interested!

Other people

Former members	Other collaborators
P. Perez, P. Torr, J. Vermaak, M. Brown, M. Gangnet, V. Kolmogorov, O. Williams, A. Agarwal.	R. Szeliski, P. Anandan, R. Cipolla, K. Toyama, A. Yuille, N. Lawrence, M. Kemp, J. Srinivasan, S. Savarese, F. F. Li, I. Cox, J. Shotton, M. Weber, I. Ulusay, M. Isard, J. MacCormick.

We are part of the Machine Learning and Perception group at Microsoft Research Ltd, Cambridge UK.

Visitors

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	A. Blake, A. Criminisi, C. Rother, A. Fitzgibbon, T. Sharp, L. Torresani, J. Shotton, P. Kohli, V. Lempitsky, J. Winn, T. Minka, G. Smyth, C. Bishop