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Ellipse Constraints for Improved Wide-Baseline Feature Matching and Reconstruction

  • Dominik Rueß
  • Ralf Reulke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6636)

Abstract

The classic feature matching process has two drawbacks. Firstly, ambiguous but possibly correct matches will potentially be removed and secondly, there is no constraint for the 2D size of the features.

In the present paper these drawbacks are tackled at once with a different approach: by considering region features instead of point features and by adding constraints based on the features’ shape. Here, the shape will be described with an ellipse. Using existing knowledge about the algebraic properties of ellipses within the computer vision domain, this enables additional constraints such as ellipse tangents. The number of ambiguous matches is reduced and increased control of the physical 2D size of the features is obtained. This will be shown on known epipolar geometry.

Additionally, reconstruction of feature ellipses is examined.

Keywords

Key Points Feature Regions Ellipses Feature Matching Epipolar Constraints Reconstruction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Dominik Rueß
    • 1
  • Ralf Reulke
    • 2
  1. 1.Deutsches Zentrum für Luft- und Raumfahrt e.V. in der Helmholtz-GemeinschaftInstitut für Robotik und Mechatronik, Optische InformationssystemeBerlinGermany
  2. 2.Institut für Informatik, Computer VisionHumboldt-Universität zu BerlinBerlinGermany

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