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Automatic singularity test for motion analysis by an information criterion

  • Kenichi Kanatani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1064)

Abstract

The structure-from-motion algorithm from two views fails if the object is a planar surface or the camera motion is a pure rotation. This paper presents a new scheme for automatically detecting these anomalies without using any knowledge about the noise in the images. This judgment does not involve any empirically adjustable thresholds, either. The basic principle of our scheme is to choose a model that has “higher predicting capability” measured by the geometric information criterion (geometric AIC).

Keywords

Feature Point Planar Surface Maximum Likelihood Estimator Motion Parameter Generalize Inverse 
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 1996

Authors and Affiliations

  • Kenichi Kanatani
    • 1
  1. 1.Department of Computer ScienceGunma UniversityGunmaJapan

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