Region correspondence for image matching via EMD flow

H. Greenspan, G. Dvir, Y. Rubner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The content of an image can be summarized by a set of homogeneous regions in an appropriate feature space. When exact shape is not important, the regions can be represented by simple "blobs". Even for similar images, the blobs in the two images might vary in shape, position, and the represented features. In addition, separate blobs in one image might get merged together in the other image. We present a novel method to compute the dissimilarity of two sets of blobs. Gaussian mixture modeling is used to represent the input images. The Earth Mover's Distance (EMD) is utilized to compute both the dissimilarity of the images and the flow matrix of the blobs between the images. The flow is used to merge blobs such that the dissimilarity between the images gets smaller. Examples are shown on synthetic and natural images.

Original languageEnglish
Title of host publicationProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages27-31
Number of pages5
ISBN (Electronic)076950695X, 9780769506951
DOIs
StatePublished - 2000
EventIEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000 - Hilton Head Island, United States
Duration: 12 Jun 2000 → …

Publication series

NameProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000

Conference

ConferenceIEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000
Country/TerritoryUnited States
CityHilton Head Island
Period12/06/00 → …

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