Data-driven Visual Similarity for Cross-domain Image Matching
Shrivastava, Abhinav, Malisiewicz, Tomasz, Gupta, Abhinav, Efros, Alexei A.
ACM Transaction of Graphics (TOG) (Proceedings of ACM SIGGRAPH ASIA) (2011)
teaser

{The goal of this work is to find visually similar images even if they appear quite different at the raw pixel level. This task is particularly important for matching images across visual domains, such as photos taken over different seasons or lighting conditions, paintings, hand-drawn sketches, etc. We propose a surprisingly simple method that estimates the relative importance of different features in a query image based on the notion of

Shrivastava, Abhinav, Malisiewicz, Tomasz, Gupta, Abhinav, Efros, Alexei A. (2011). Data-driven Visual Similarity for Cross-domain Image Matching. ACM Transaction of Graphics (TOG) (Proceedings of ACM SIGGRAPH ASIA), 30(6).

@article{shrivastava-sa11,
author = {Shrivastava, Abhinav and Malisiewicz, Tomasz and Gupta, Abhinav and Efros, Alexei A.},
title = {Data-driven Visual Similarity for Cross-domain Image Matching},
journal = {ACM Transaction of Graphics (TOG) (Proceedings of ACM SIGGRAPH ASIA)},
year = {2011},
volume = {30},
number = {6},
},
links= "http://graphics.cs.cmu.edu/projects/crossDomainMatching/",
}