Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis

نویسندگان

  • Alexander Kukush
  • Ivan Markovsky
  • Sabine Van Huffel
چکیده

Consistent estimators of the rank-de0cient fundamental matrix yielding information on the relative orientation of two images in two-view motion analysis are derived. The estimators are derived by minimizing a corrected contrast function in a quadratic measurement error model. In addition, a consistent estimator for the measurement error variance is obtained. Simulation results show the improved accuracy of the newly proposed estimator compared to the ordinary total least-squares estimator. c © 2002 Elsevier Science B.V. All rights reserved.

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عنوان ژورنال:
  • Computational Statistics & Data Analysis

دوره 41  شماره 

صفحات  -

تاریخ انتشار 2002