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Indexing Two-Dimensional Objects Using Parametrised Geometric Features

  • Conference paper
BMVC92

Abstract

A new approach to indexing in model-based vision is introduced; using indexing features whose deformed instances are present in a number of different object models. Hypotheses are generated by matching an indexing feature with an image using a viewing transformation incorporating the deformation; the parameter values of the deformational component provide specific indices to those models related to the indexing feature.

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Author information

Authors and Affiliations

  1. I.T. Research Institute, Brighton Polytechnic, Brighton, UK

    C. C. Hand

Authors
  1. C. C. Hand
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Editor information

Editors and Affiliations

  1. School of Computer Studies, University of Leeds, Leeds, LS2 9JT, UK

    David Hogg BSc, MSc, DPhil  & Roger Boyle BA, PhD  & 

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© 1992 Springer-Verlag London Limited

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Hand, C.C. (1992). Indexing Two-Dimensional Objects Using Parametrised Geometric Features. In: Hogg, D., Boyle, R. (eds) BMVC92. Springer, London. https://doi.org/10.1007/978-1-4471-3201-1_18

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  • DOI: https://doi.org/10.1007/978-1-4471-3201-1_18

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19777-5

  • Online ISBN: 978-1-4471-3201-1

  • eBook Packages: Springer Book Archive

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