• DocumentCode
    2867575
  • Title

    Algebraic Models for Accurate LFS Reconstruction

  • Author

    Lara, Luis D. ; Lemuz, Rafael

  • Author_Institution
    Fac. de Cienc. de la Comput., Benemerita Univ. Autonoma de Puebla, Puebla, Mexico
  • fYear
    2011
  • fDate
    Nov. 26 2011-Dec. 4 2011
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    In this paper, we analyze four algebraic models for light fall off representation. The algebraic models are estimated using fitting techniques of non-linear models. The alternative light attenuation models are then evaluated in a 3D reconstruction method. The comparative analysis of the 3D reconstruction error is presented and shows that the algebraic models are more accurate. The advantages and disadvantages of the alternative models are discussed and compared with the traditional representations of light fall off known as the inverse square law.
  • Keywords
    algebra; computer graphics; computer vision; image reconstruction; 3D reconstruction method; LFS reconstruction; algebraic model; fitting technique; inverse square law; light attenuation model; light fall off representation; nonlinear model; Accuracy; Analytical models; Computational modeling; Light sources; Mathematical model; Solid modeling; Three dimensional displays; algebraic models; light fall off; stereo reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2011 10th Mexican International Conference on
  • Conference_Location
    Puebla
  • Print_ISBN
    978-1-4577-2173-1
  • Type

    conf

  • DOI
    10.1109/MICAI.2011.23
  • Filename
    6119002