Canonical forms and orbit identification problems in machine vision

S. Takahashi, B. K. Ghosh

Research output: Contribution to journalConference article

Abstract

We introduce canonical forms for perspective dynamical systems under the action of a perspective group and illustrate their application to parameter identification with the aid of a single CCD camera. We show that the parameters in the canonical form can be identified uniquely using an Extended Kalman Filter (EKF).

Original languageEnglish
Pages (from-to)5175-5181
Number of pages7
JournalProceedings of the IEEE Conference on Decision and Control
Volume5
StatePublished - 2000
Event39th IEEE Confernce on Decision and Control - Sydney, NSW, Australia
Duration: Dec 12 2000Dec 15 2000

Keywords

  • Canonical forms
  • Extended Kalman filter
  • Identification
  • Kronecker index
  • Machine vision
  • Parameter
  • Perspective dynamical systems

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