Affine and Projective Normalization of Planar Curves and Regions

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

Recent research has shown that invariant indexing can speed up the recognition process in computer vision. Extraction of invariant features can be done by choosing first a canonical reference frame, and then features in this reference frame. This paper gives methods for extracting invariants for planar curves under affine and projective transformations. The invariants can be used semilocally to recognize occluded objects. For affine transformations, there are methods giving a unique reference frame, with continuity in the Hausdorff metric. This is not possible in the projective case. Continuity can, however, be kept by sacrificing uniqueness
Original languageEnglish
Title of host publicationComputer Vision ECCV'94
EditorsJan-Olof Eklundh
PublisherSpringer
Pages439-448
Volume2
ISBN (Print)3 540 57957 5
Publication statusPublished - 1994
EventProceedings of Third European Conference on Computer Vision, Volume II - Stockholm, Sweden
Duration: 1994 May 21994 May 6

Publication series

Name
Volume2

Conference

ConferenceProceedings of Third European Conference on Computer Vision, Volume II
Country/TerritorySweden
CityStockholm
Period1994/05/021994/05/06

Subject classification (UKÄ)

  • Mathematical Sciences

Free keywords

  • Recognition
  • planar curves
  • projective and affine invariants
  • computational geometry
  • computer vision

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