Optimum fiducials under weak perspective projection

Alfred M. Bruckstein, Thomas S. Huang, Robert J. Holt, Arun N. Netravali

Research output: Contribution to conferencePaper

Abstract

We investigate how a given fixed number of points should be located in space so that the pose of a camera viewing them from unknown locations can be estimated with the greatest accuracy. We show that optimum solutions are obtained when the points form concentric complete regular polyhedra. For the case of optimal configurations we provide a worst-case error analysis and use it to analyze the effects of weak perspective approximation to true perspective viewing. Comprehensive computer simulations validate the theoretical results.

Original languageEnglish (US)
Pages67-72
Number of pages6
StatePublished - Dec 1 1999
Externally publishedYes
EventProceedings of the 1999 7th IEEE International Conference on Computer Vision (ICCV'99) - Kerkyra, Greece
Duration: Sep 20 1999Sep 27 1999

Other

OtherProceedings of the 1999 7th IEEE International Conference on Computer Vision (ICCV'99)
CityKerkyra, Greece
Period9/20/999/27/99

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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    Bruckstein, A. M., Huang, T. S., Holt, R. J., & Netravali, A. N. (1999). Optimum fiducials under weak perspective projection. 67-72. Paper presented at Proceedings of the 1999 7th IEEE International Conference on Computer Vision (ICCV'99), Kerkyra, Greece, .