• DocumentCode
    1872321
  • Title

    Creating a face model from an unknown skull based on the tissue map

  • Author

    Pei, Yuru ; Zha, Hongbin ; Yuan, Zhongbiao

  • Author_Institution
    Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2088
  • Lastpage
    2091
  • Abstract
    The craniofacial reconstruction is employed as an initialization of the identification in forensics. In this paper we present a tissue map based craniofacial reconstruction technique. The reconstruction is formulated as the superimposition of the selected tissue map onto the novel skull. The key problem is the accurate map registration, which is implemented as a warping guided by 2D feature patterns. Given a novel skull, the feature patterns are extracted automatically under an energy minimization framework. The feature configuration on the warped tissue map is expected to resemble that on the novel skull. The target facial model is reconstructed by a smooth interpolation of the point cloud, which results from a simple addition of range images. The presented experiments demonstrate the facial outlook can be reconstructed from the tissue map feasibly and efficiently.
  • Keywords
    face recognition; feature extraction; image reconstruction; image registration; interpolation; 2D feature pattern; craniofacial reconstruction; energy minimization; face model; feature configuration; feature extraction; forensics; map registration; point cloud; skull; smooth interpolation; tissue map; Computed tomography; Feature extraction; Forensics; Image reconstruction; Radial basis function networks; Sampling methods; Shape; Skull; Surface fitting; Surface reconstruction; Geometric modeling; Pattern matching; Surface fitting; image registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712198
  • Filename
    4712198