Alignment and Correspondence Using Singular Value Decomposition

  • B. Luo
  • E. R. Hancock
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1876)

Abstract

This paper casts the problem of point-set alignment and correspondence into a unified framework. The utility measure underpinning the work is the cross-entropy between probability distributions for alignment and assignment errors. We show how Procrustes alignment parameters and correspondence probabilities can be located using dual singular value decompositions. Experimental results using both synthetic and real images are given.

Keywords

Delaunay Triangulation Utility Measure Alignment Error Alignment Parameter Proximity Matrix 
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-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • B. Luo
    • 1
    • 2
  • E. R. Hancock
    • 1
  1. 1.Department of Computer ScienceUniversity of YorkYorkUK
  2. 2.Anhui UniversityP.R. China

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