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, J. Winn. Epitomic Location Recognition. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008 Anchorage, Alaska, US. Winner of Best Student Paper Runner Up Award.

back to Computer Vision @ MSRC

Web site designed and maintained by A. Criminisi