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A Statistical Approach to Structure and Motion from Image Features

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Author

Summary, in English

The estimation of structure and motion from image sequences using corresponding points, lines, conics and structured patches is treated. Recent research has provided good tools for obtaining good initial estimates of structure and motion using point, line, conic and curve correspondences. These estimates are, however, not so accurate. It is shown how to obtain statistically optimal estimates of structure and motion using a combination of such image feature correspondences. The question of using proper weighting is important when different types of features are combined. We show how weights can be chosen in a statistical optimal sense. Experiments with real data are used to evaluate every step of the algorithm

Publishing year

1998

Language

English

Pages

929-936

Publication/Series

[Host publication title missing]

Document type

Conference paper

Publisher

Springer

Topic

  • Mathematics

Keywords

  • computational geometry
  • image motion analysis
  • image sequences. statistical analysis

Conference name

Advances in Pattern Recognition. Joint IAPR International Workshops. SSPR'98 and SPR'98. Proceedings

Conference date

1998-08-11 - 1998-08-13

Conference place

Sydney, NSW, Australia

Status

Published

ISBN/ISSN/Other

  • ISBN: 3 540 64858 5