A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Circular Earth Mover's Distance for the comparison of local features
2008
Pattern Recognition (ICPR), Proceedings of the International Conference on
Many computer vision algorithms make use of local features, and rely on a systematic comparison of these features. The chosen dissimilarity measure is of crucial importance for the overall performances of these algorithms and has to be both robust and computationally efficient. Some of the most popular local features (like SIFT [4] descriptors) are based on one-dimensional circular histograms. In this contribution, we present an adaptation of the Earth Mover's Distance to onedimensional
doi:10.1109/icpr.2008.4761372
dblp:conf/icpr/RabinDG08a
fatcat:5esjkfgxvjb6dji6b3svz2yz2e