Shape comparison through mutual distances of real functions
Proceedings of the ACM workshop on 3D object retrieval
The quadratic-chi histogram distance family
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Linear discriminant analysis for signatures
IEEE Transactions on Neural Networks
Localized earth mover's distance for robust histogram comparison
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Person re-identification using appearance classification
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Transportation Distances on the Circle
Journal of Mathematical Imaging and Vision
Sorting atomic activities for discovering spatio-temporal patterns in dynamic scenes
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Improved diffusion basis functions fitting and metric distance for brain axon fiber estimation
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
Recovering depth map from video with moving objects
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
Agents of influence in social networks
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Example-Based Fractured Appearance
Computer Graphics Forum
Image retargeting assessment based on salient region similarity
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Supervised earth mover's distance learning and its computer vision applications
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
International Journal of Computer Vision
Tensor-SIFT Based Earth Mover's Distance for Contour Tracking
Journal of Mathematical Imaging and Vision
Observing damaged beams through their time-frequency extended signatures
Signal Processing
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We present a new metric between histograms such as SIFT descriptors and a linear time algorithm for its computation. It is common practice to use the L 2 metric for comparing SIFT descriptors. This practice assumes that SIFT bins are aligned, an assumption which is often not correct due to quantization, distortion, occlusion etc.In this paper we present a new Earth Mover's Distance (EMD) variant. We show that it is a metric (unlike the original EMD [1] which is a metric only for normalized histograms). Moreover, it is a natural extension of the L 1 metric. Second, we propose a linear time algorithm for the computation of the EMD variant, with a robust ground distance for oriented gradients. Finally, extensive experimental results on the Mikolajczyk and Schmid dataset [2] show that our method outperforms state of the art distances.