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The code efficiently computes the Earth Mover s Distance (EMD) between two histograms or sparse histograms (signatures). The EMD is also known as Mallows, 1st Wasserstein, Monge-Kantorovich, Match and Transporatation distances. The approach was described in the paper: "Fast and Robust Earth Mover s Distance" [, ]. EMD-HAT (a better definition of EMD for non-normalized histograms) was presented in the paper: "A Linear Time Histogram Metric for Improved SIFT Matching" [, ]. -The code efficiently computes the Earth Mover s Distance (EMD) between two histograms or sparse histograms (signatures). The EMD is also known as Mallows, 1st Wasserstein, Monge-Kantorovich, Match and Transporatation distances. The approach was described in the paper: "Fast and Robust Earth Mover s Distance" [, ]. EMD-HAT (a better definition of EMD for non-normalized histograms) was presented in the paper: "A Linear Time Histogram Metric for Improved SIFT Matching" [, ].
Date : 2025-12-24 Size : 197kb User : ning

基于sift算法的特征点提取,描述了提取特征点的流程-Sift feature point extraction algorithm based on
Date : 2025-12-24 Size : 135kb User : 刘平旭

SIFT Descriptor Algorithm
Date : 2025-12-24 Size : 914kb User : amyamou

媒体计算方法试验,选了这个课的懂,其中mosaic为sift特征提取与匹配,要用到vlfeat-0.9.17或其他版本。-These are the experiment of the course named media computing methods.
Date : 2025-12-24 Size : 3kb User : 刘流
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