Longuet-Higgins Prize is an award given annually by the IEEE Computer Society

IEEE Computer Society

The IEEE Computer Society is a professional society of IEEE. Its purpose and scope is “to advance the theory, practice, and application of computer and information processing science and technology” and the “professional standing of its members.” The CS is the largest of 38 technical societies...

 on the Conference on Computer Vision and Pattern Recognition

Conference on Computer Vision and Pattern Recognition

The Conference on Computer Vision and Pattern Recognition is the IEEE annual conference on computer vision and pattern recognition. It has an 'A' rating from the Australian Ranking of ICT Conferences....

 (CVPR), for 'fundamental contributions in Computer Vision'. The award recognizes CVPR papers from ten years ago with fundamental impact on computer vision research. The medal is named after theoretical chemist and cognitive scientist H. Christopher Longuet-Higgins

H. Christopher Longuet-Higgins

Hugh Christopher Longuet-Higgins FRS was both a theoretical chemist and a cognitive scientist. He was born on April 11, 1923 in Kent, England and died on March 27, 2004....

.

Longuet-Higgins Prize recipients

• 2005 –
  • David Mumford
    David Mumford
    David Bryant Mumford is an American mathematician known for distinguished work in algebraic geometry, and then for research into vision and pattern theory. He won the Fields Medal and was a MacArthur Fellow. In 2010 he was awarded the National Medal of Science...
    
     and Jayant Shah, "Boundary detection by minimizing functionals", CVPR 1985, pages 22–26.
  • Ted Adelson and John Wang, "Layered representation for motion analysis", CVPR 1993, pages 361–366.

• 2006 –
  • H. Rowley, S. Baluja and Takeo Kanade
    Takeo Kanade
    is a Japanese computer scientist and one of the world's foremost researchers in computer vision. He is currently U.A. and Helen Whitaker Professor at Carnegie Mellon University...
    
    , "Neural Network-Based Face Detection", CVPR 1996.
  • Cordelia Schmid and Roger Mohr, "Combining greyvalue invariants with local constraints for object recognition", CVPR 1996.

• 2007 –
  • J. Shi and J. Malik
    Jitendra Malik
    Jitendra Malik is a researcher in computer vision, the Arthur J. Chick Professor of Electrical Engineering and Computer Science at the University of California, Berkeley....
    
    , "Normalized Cuts and Image Segmentation", CVPR 1997.
  • E. Osuna, R. Freund, and F. Girosi, "Training Support Vector Machines: An Application to Face Detection", CVPR 1997.

• 2008 –
  • H. Schneiderman and Takeo Kanade
    Takeo Kanade
    is a Japanese computer scientist and one of the world's foremost researchers in computer vision. He is currently U.A. and Helen Whitaker Professor at Carnegie Mellon University...
    
    , "Probabilistic modeling of local appearance and spatial relationships for object recognition", CVPR 1998.
  • C. Bregler and J. Malik
    Jitendra Malik
    Jitendra Malik is a researcher in computer vision, the Arthur J. Chick Professor of Electrical Engineering and Computer Science at the University of California, Berkeley....
    
    , "Tracking people with twists and exponential maps", CVPR 1998.

• 2009 –
  • Jinggang Huang, David Mumford
    David Mumford
    David Bryant Mumford is an American mathematician known for distinguished work in algebraic geometry, and then for research into vision and pattern theory. He won the Fields Medal and was a MacArthur Fellow. In 2010 he was awarded the National Medal of Science...
    
    , "Statistics of Natural Images and Models", CVPR 1999.
  • Chris Stauffer, W.E.L. Grimson, "Adaptive Background Mixture Models for Real-Time Tracking", CVPR 1999.

• 2010 –
  • Pedro F. Felzenszwalb and Daniel P. Huttenlocher, "Efficient Matching of Pictorial Structures", CVPR 2000.
  • Dorin Comaniciu, Visvanathan Ramesh, and Peter Meer, "Real-Time Tracking of Non-Rigid Objects Using Mean Shift", CVPR 2000.

• 2011 –
  • Paul A. Viola and Michael J. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", CVPR 2001.