Similarity and Affine Distance Between 2d Point Sets

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Abstract

We develop expressions for measuring the distance between 2D point sets, which are invariant to either 2D affine transformations or 2D similarity transformations of the sets, and assuming a known correspondence between the point sets. Moreover, it makes it possible to compute the distance between images under different conditions, including cases where the images are treated asymmetrically. We demonstrate these results with real images.
Original languageAmerican English
Title of host publicationProceedings Of The 12th IAPR International Conference On Pattern Recognition
Subtitle of host publicationConference A: Computer Vision & Image Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages723-725
Number of pages3
DOIs
StatePublished - 1994
Event12th IAPR International Conference on Pattern Recognition , ICPR '94 - Jerusalem, Israel
Duration: 9 Oct 199413 Oct 1994
Conference number: 12

Publication series

NameProceedings - International Conference on Pattern Recognition
PublisherIEEE
Volume1

Conference

Conference12th IAPR International Conference on Pattern Recognition , ICPR '94
Abbreviated titleICPR '94
Country/TerritoryIsrael
CityJerusalem
Period9/10/9413/10/94

Keywords

  • 2D affine invariance
  • 2D similarity invariance
  • Pattern analysis

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