Epitomic Location Recognition

A. Kannan, A. Criminisi, J. Winn, with K. Ni


 

Project description

  At Microsoft Research in Cambridge we have developed an efficient and accurate technique for modeling and recognizing classes of environments.

Demos                                (click below to play demo videos)

            

 

 Scientific publications             
  1. K. Ni, A. Kannan, A. Criminisi and J. Winn. Epitomic Location Recognition. In Proc. Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, US, 2008.

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