Probabilistic vs. Geometric Similarity Measures for Image Retrieval


Similarity between images in image retrieval is measured by computing distances between feature vectors. This paper presents a probabilistic approach and describes two likelihood-based similarity measures for image retrieval. Popular distance measures like the Euclidean distance implicitly assign more weighting to features with large ranges than those with… (More)
DOI: 10.1109/CVPR.2000.854847


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