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    Welcome to Richard Szeliski's Home Page

    Richard Szeliski
    Microsoft Research
    One Microsoft Way
    Redmond, WA 98052-6399
    Tel: 425 706-4774
    Fax: 425 706-7329
    szeliski@microsoft.com
    http://research.microsoft.com/~szeliski/


    Publications (or try Google Scholar or DBLP )

    Recent projects

    I lead the Interactive Visual Media Group at Microsoft Research, the research arm of Microsoft Corporation. I also have an Affiliate Professor appointment at the University of Washington.

    Recent news:

    I'm in the final editing stages of my computer vision textbook. Please check it out and send me comments about what you would like to see included or improved.

    The first real live version of Photosynth has finally shipped, two years after we presented our original Photo Tourism paper! Check out the following personal synths I created using this system.

    Our Image Compositing Editor (ICE) advanced image stitching tool has even more functionality than our Windows Live Photo Gallery image stitcher, including output to HD View and Silverlight Deep Zoom.

    Our latest release of the HD View super-high-definition panoramic image viewer, which you can use to display and view your own panoramas, now has support for high dynamic range (JPEG XR) images.

    Research areas:

    My research areas include computer vision and computer graphics.

    My particular interests are in using vision to automatically build 3-D models from images, computational photography, and image-based rendering. I have worked on both traditional 3-D volumetric and surface model reconstruction, and on high-resolution image mosaic construction. I am also interested in using computer vision for human-computer interaction and for analysing image databases. I have additional research interests in geometric modeling, motion estimation, multiresolution algorithms and representations, and optimization algorithms.

    Benchmark studies:

    Middlebury Stereo Vision Page (with Daniel Scharstein): an online evaluation of the best two-image stereo matching algorithms, along with test images, ground truth, and software.

    MRF Energy Minimization Page (with Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall Tappen, and Carsten Rother): a comparison of 2-D MRF energy minimization algorithms, along with test images, data files, and software.

    Multi-View Stereo Evaluation (with Steve Seitz, Brian Curless, James Diebel, and Daniel Scharstein): a comparison of multi-view stereo 3D surface/volume reconstruction algorithms, along with calibrated test images.

    Optical Flow Evaluation (with Simon Baker, Daniel Scharstein, JP Lewis, Stefan Roth, and Michael Black): a comparison of optic flow (motion estimation) algorithms, along with calibrated test sequences.

    Editorial:

    I am a founding editor of Foundations and Trends(R) in Computer Graphics and Vision. If you are interested in contributing a survey article, please contact me.

    Courses taught:

    Computer Vision, UW CSE 576, Spring 2008

    Computer Vision, UW CSE 576, Spring 2005

    Introduction to Computer Vision, Stanford CS223B, Winter 2003

    Vision for Graphics, UW CSE590SS, Winter 2001

    NIPS 2004 Tutorial on Acquiring Detailed 3D Models From Images and Video

    ICCV 2003 Short Course on Dense multiview stereo

    ICCV 2003 Short Course on Image-based Rendering

    Software:


    Our panoramic image stitching sofware is available as part of the Windows Live Photo Gallery.

    Places I have been affiliated with:

    Digital Equipment Corporation's Cambridge Research Laboratory
    SRI International's AI Center (Perception Program)
    Carnegie Mellon Vision and Autonomous Systems Center
        (Computer Vision Home Page)

     

    Last updated 10/25/09 szeliski@microsoft.com