• DocumentCode
    178150
  • Title

    Affine Alignment of Occluded Shapes

  • Author

    Santa, Zsolt ; KATO, ZOLTAN

  • Author_Institution
    Image Process. & Comput. Graphics Dept., Univ. of Szeged, Szeged, Hungary
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    2155
  • Lastpage
    2160
  • Abstract
    A novel affine registration technique is proposed which efficiently handles the partial occlusion problem. The proposed method is working without point wise correspondences or radiometric information´s. The aligning transformation is found by solving a system of non-linear equations and minimizing the area of occlusions. Each equation is generated by integrating a non-linear function over the foreground domains of the shapes. In order to deal with occlusions, the shapes are approximated by polygons and the occluded areas are determined with simple boolean operators. Based on the tests on a large synthetic dataset, the proposed approach outperforms state of the art algorithms.
  • Keywords
    image registration; nonlinear equations; nonlinear functions; affine alignment; affine registration technique; aligning transformation; large synthetic dataset; nonlinear equations; nonlinear function; occluded shapes; partial occlusion problem; Approximation algorithms; Approximation methods; Equations; Mathematical model; Minimization; Robustness; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.375
  • Filename
    6977087