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» Diffusion Distance for Histogram Comparison
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CVPR
2006
IEEE
14 years 7 months ago
Diffusion Distance for Histogram Comparison
In this paper we propose diffusion distance, a new dissimilarity measure between histogram-based descriptors. We define the difference between two histograms to be a temperature f...
Haibin Ling, Kazunori Okada
BMCBI
2010
151views more  BMCBI 2010»
13 years 5 months ago
Using diffusion distances for flexible molecular shape comparison
Background: Many molecules are flexible and undergo significant shape deformation as part of their function, and yet most existing molecular shape comparison (MSC) methods treat t...
Yu-Shen Liu, Qi Li, Guo-Qin Zheng, Karthik Ramani,...

Publication
322views
13 years 9 months ago
Three-dimensional point cloud recognition via distributions of geometric distances
Ageometric framework for the recognition of three-dimensional objects represented by point clouds is introducedin this paper. The proposed approach is based on comparing distribut...
Mona Mahmoudi, Guillermo Sapiro
ICPR
2008
IEEE
14 years 6 months ago
Circular Earth Mover's Distance for the comparison of local features
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 th...
Julie Delon, Julien Rabin, Yann Gousseau
CVPR
2008
IEEE
14 years 7 months ago
Approximate earth mover's distance in linear time
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...
Sameer Shirdhonkar, David W. Jacobs