Canonical frames for planar object recognition

Charles A. Rothwell, Andrew Zisserman, David A. Forsyth, Joseph L. Mundy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a canonical frame construction for determining projectively invariant indexing functions for non-algebraic smooth plane curves. These invariants are semi-local rather than global, which promotes tolerance to occlusion. Two applications are demonstrated. Firstly, we report preliminary work on building a model based recognition system for planar objects. We demonstrate that the invariant measures, derived from the canonical frame, provide sufficient discrimination between objects to be useful for recognition. Recognition is of partially occluded objects in cluttered scenes. Secondly, jigsaw puzzles are assembled and rendered from a single strongly perspective view of the separate pieces. Both applications require no camera calibration or pose information, and models are generated and verified directly from images.

Original languageEnglish (US)
Title of host publicationComputer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings
EditorsGiulio Sandini
PublisherSpringer-Verlag Berlin Heidelberg
Pages757-772
Number of pages16
ISBN (Print)9783540554264
DOIs
StatePublished - Jan 1 1992
Event2nd European Conference on Computer Vision, ECCV 1992 - Santa Margherita Ligure, Italy
Duration: May 19 1992May 22 1992

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume588 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd European Conference on Computer Vision, ECCV 1992
CountryItaly
CitySanta Margherita Ligure
Period5/19/925/22/92

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Rothwell, C. A., Zisserman, A., Forsyth, D. A., & Mundy, J. L. (1992). Canonical frames for planar object recognition. In G. Sandini (Ed.), Computer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings (pp. 757-772). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 588 LNCS). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/3-540-55426-2_86