Advertisement

Self-evaluation for active vision by the geometric information criterion

  • Kenichi Kanatani
Structure from Motion
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1296)

Abstract

We present a scheme for evaluating the “goodness” of camer++a motion for robust 3-D reconstruction by means of the geometric information criterion (geometric AIC). The evaluation does not require any knowledge about the environment, the device, and the image processing techniques by which the images are obtained, and we need not introduce any thresholds to be adjusted empirically.

Keywords

Feature Point Image Noise Camera Motion Image Processing Technique Active Vision 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    H. Akaike, “A new look at the statistical model identification,” IEEE Trans. Automation Control, 19-6 (1974), 176–723.Google Scholar
  2. 2.
    K. Kanatani, “Unbiased estimation and statistical analysis of 3-D rigid motion from two views,” IEEE Trans. Patt. Anal. Mach. Intell. 15-1 (1993), 37–50.CrossRefGoogle Scholar
  3. 3.
    K. Kanatani, Geometric Computation for Machine Vision, Oxford University Press, Oxford, 1993.Google Scholar
  4. 4.
    K. Kanatani, “Renormalization for motion analysis: Statistically optimal algorithm,” IEICE Trans. Inf, & Sys., E77-D-11 (1994), 1233–1239.Google Scholar
  5. 5.
    K. Kanatani, “Automatic singularity test for motion analysis by an information criterion,” Proc. 4th European Conference on Computer Vision, April, 1996, Cambridge, U.K., pp. 697–708.Google Scholar
  6. 6.
    K. Kanatani, Statistical Optimization for Geometric Computation: Theory and Practice, Elsevier Science, Amsterdam, 1996.Google Scholar
  7. 7.
    K. Kanatani, “Geometric information criterion for model selection,” Int. J. Comput. Vision, to appear.Google Scholar
  8. 8.
    K. Kanatani and S. Takeda, “3-D motion analysis of a planar surface by renormalization,” IEICE Trans. Inf. & Syst., E78-D-8 (1995), 1074–1079.Google Scholar
  9. 9.
    H. C. Longuet-Higgins, “The reconstruction of a plane surface from two perspective projections,” Proc. Roy. Soc. Lond., B-227 (1986), 399–410.Google Scholar
  10. 10.
    J. Weng, N. Ahuja and T. S. Huang, “Motion and structure from point correspondences with error estimation: Planar surfaces,” IEEE Trans. Sig. Proc., 39-12 (1991), 2691–2717.CrossRefGoogle Scholar
  11. 11.
    J. Weng, N. Ahuja and T. S. Huang, “Optimal motion and structure estimation,” IEEE Trans. Patt. Anal. Mach. Intell., 15-9 (1993), 864–884.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Kenichi Kanatani
    • 1
  1. 1.Department of Computer ScienceGunma UniversityKiryu, GunmaJapan

Personalised recommendations