• DocumentCode
    1572027
  • Title

    Reconstruction of 3D Shapes Considering Inconsistent 2D Silhouettes

  • Author

    Landabaso, J.L. ; Pardas, Montse ; Casas, J.R.

  • Author_Institution
    Image Process. Group, Tech. Univ. of Catalonia, Barcelona, Spain
  • fYear
    2006
  • Firstpage
    2209
  • Lastpage
    2212
  • Abstract
    The visual hull is defined as the intersection of the visual cones formed by the back-projection of C 2D silhouettes into the 3D space. The set of 2D silhouettes is consistent if there exists at least one volume which exactly explains them. Shape from silhouette (SfS) is the general term used to refer to the techniques employed to obtain a volume from silhouettes, which are considered to be consistent. In this paper we extend the idea of SfS to be used with sets of inconsistent silhouettes resulting from inaccurate calibration and erroneous 2D silhouette extraction techniques. The method presented detects and corrects errors in the silhouettes based on the consistency principle, implying an unbiased treatment of false alarms and misses in 2D.
  • Keywords
    calibration; feature extraction; image reconstruction; 3D shape reconstruction; SfS extraction technique; calibration; inconsistent 2D silhouette; shape-from-silhouette; visual cone intersection; visual hull; Background noise; Calibration; Computer errors; Computer vision; Error correction; Image processing; Image reconstruction; Layout; Noise shaping; Shape; 3D; Computer Vision; Inconsistent Hull; Reconstruction; SfIS; SfS; Shape from Silhouette; Smart Room; Visual Hull;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.313008
  • Filename
    4107003