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Recursive Structure and Motion Estimation Based on Hybrid Matching Constraints

  • Anders Heyden
  • Fredrik Nyberg
  • Ola Dahl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4522)

Abstract

Motion estimation has traditionally been approached either from a pure discrete point of view, using multi-view tensors, or from a pure continuous point of view, using optical flow. This paper builds upon a novel framework of hybrid matching constraints for motion estimation, combining the advantages of both discrete and continuous methods. We will derive both bifocal and trifocal hybrid constraints and use them together with a structure estimate based on filtering techniques. A feedback from the structure estimate will be used to further refine the motion estimate. This gives a complete iterative structure and motion estimation scheme. Its performance will be demonstrated in simulated experiments.

Keywords

Motion Estimation Motion Parameter Structure Estimate Recursive Structure Recursive Estimation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Anders Heyden
    • 1
  • Fredrik Nyberg
    • 1
  • Ola Dahl
    • 1
  1. 1.Applied Mathematics Group, School of Technology and Society, Malmö UniversitySweden

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