Comparison of point clouds acquired by 3d scanner

  • Authors:
  • Natalia Dyshkant

  • Affiliations:
  • Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russian Federation

  • Venue:
  • DGCI'13 Proceedings of the 17th IAPR international conference on Discrete Geometry for Computer Imagery
  • Year:
  • 2013

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Abstract

3D representation of real objects surfaces can be used in applications of computer graphics, medicine, geoinformatics, etc. We consider a problem of measure introducing for comparing of point clouds acquired by different scanning acts and types of scanners and designing of computationally efficient algorithms for their computing. The solution supposes estimation of disparity measure for the fixed position and search of such position that the measure is minimal by solving optimization problem of surface matching. The algorithm for efficient localization of mesh nodes in a Delaunay triangulation is proposed. As the applications several problems of 3D face model analysis were considered.