• DocumentCode
    2536912
  • Title

    3D reconstruction of the human jaw from a sequence of images

  • Author

    Ahmed, M. ; Yamany, S. ; Hemayed, E. ; Ahmed, S. ; Roberts, S. ; Farag, A.

  • Author_Institution
    Dept. of Electr. Eng., Louisville Univ., KY, USA
  • fYear
    1997
  • fDate
    17-19 Jun 1997
  • Firstpage
    646
  • Lastpage
    653
  • Abstract
    A novel approach is proposed to obtain a record of the patient´s occlusion using computer vision. Data acquisition is obtained using intra-oral video cameras. The technique utilizes shape from shading to extract 3D information from 2D views of the jaw, and a novel technique for 3D data registration using genetic algorithms. The resulting 3D model can be used for diagnosis, treatment planning, and implant purposes. The overall purpose of this research is to develop a model-based vision system for orthodontics to replace traditional approaches. This system will be flexible, accurate, and will reduce the cost of orthodontic treatments
  • Keywords
    bone; computer vision; data acquisition; genetic algorithms; image reconstruction; image registration; image sequences; medical image processing; patient treatment; physiology; stereo image processing; video signal processing; 2D views; 3D data registration; 3D information extraction; 3D reconstruction; computer vision; data acquisition; diagnosis; genetic algorithms; human jaw; image sequence; implant purposes; intra-oral video cameras; model-based vision system; orthodontics; patient occlusion record; shape from shading; treatment planning; Cameras; Computer vision; Data acquisition; Data mining; Genetic algorithms; Humans; Image reconstruction; Implants; Machine vision; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
  • Conference_Location
    San Juan
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7822-4
  • Type

    conf

  • DOI
    10.1109/CVPR.1997.609394
  • Filename
    609394