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Observer forms for perspective systems

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Author

Summary, in English

The estimation of three-dimensional position information from two-dimensional images in computer vision systems can be formulated as a state estimation problem for a nonlinear perspective dynamic system. The multi-output state estimation problem has been treated by several authors using methods for nonlinear observer design. This paper shows that a perspective system can be transformed to two observer forms, and provides constructive methods for arriving at the transformations. These observer forms lead to straightforward observer designs. First, it is shown that, using an output transformation, the system admits an observer form which leads to an observer with linear error dynamics. A second observer design is based on a time-scaled block triangular form. Both designs assume a commonly used observability condition. The designs are demonstrated in simulation. (C) 2010 Elsevier Ltd. All rights reserved.

Publishing year

2010

Language

English

Pages

1829-1834

Publication/Series

Automatica

Volume

46

Issue

11

Document type

Journal article

Publisher

Pergamon Press Ltd.

Topic

  • Mathematics

Keywords

  • Computer vision systems
  • estimation
  • Structure
  • Observer forms
  • Nonlinear observers
  • Perspective systems

Status

Published

ISBN/ISSN/Other

  • ISSN: 0005-1098