An extended system method for consistent fundamental matrix estimation

  • Authors:
  • Huixiang Zhong;Yueping Feng;Yunjie Pang

  • Affiliations:
  • College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge, Engineering of the Ministry of Education, Jilin University, Changchun, P. R. China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge, Engineering of the Ministry of Education, Jilin University, Changchun, P. R. China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge, Engineering of the Ministry of Education, Jilin University, Changchun, P. R. China

  • Venue:
  • ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
  • Year:
  • 2005

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Abstract

This paper is concerned with solution of the consistent fundamental matrix estimation in a quadratic measurement error model. First an extended system for determining the estimator is proposed, and an efficient implementation for solving the system-a continuation method is developed to fix on an interval in which a local minimum belongs. Then an optimization method using a quadratic interpolation is used to exactly locate the minimum. The proposed method avoids solving total eigenvalue problems. Thus the computational cost is significantly reduced. Synthetic and real images are used to verify and illustrate the effectiveness of the proposed approach.