Iterative algorithm for angular matching of group point objects with a priori uncertainty of parameters

  • Authors:

  • Ya. A. Furman;I. L. Egoshina;R. V. Eruslanov

  • Affiliations:

  • Volga State University of Technology, Mari El Republic, Russia 424000;Volga State University of Technology, Mari El Republic, Russia 424000;Volga State University of Technology, Mari El Republic, Russia 424000

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2013

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Abstract

An iterative algorithm for angular matching of two images of three-dimensional objects based on the properties of the normalized scalar product is considered. It is shown that the algorithm is stable in the case of both well-defined and ill-defined angular matching problems. An approach to recognizing spatial 3D group point objects with a priori uncertainty of their angular parameters is proposed based on the obtained algorithm.