• DocumentCode
    3276545
  • Title

    Object modeling by registration of multiple range images

  • Author

    Chen, Yung ; Medioni, Gerard

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1991
  • fDate
    9-11 Apr 1991
  • Firstpage
    2724
  • Abstract
    The problem of creating a complete model of a physical object is studied. Although this may be possible using intensity images, the authors use range images which directly provide access to three-dimensional information. The first problem that needs to be solved is to find the transformation between the different views. Previous approaches have either assumed this transformation to be known (which is extremely difficult for a complete model) or computed it with feature matching (which is not accurate enough for integration. The authors propose an approach that works on range data directly and registers successive views with enough overlapping area to get an accurate transformation between views. This is performed by minimizing a functional that does not require point-to-point matches. Details are given of the registration method and modeling procedure, and they are illustrated on range images of complex objects
  • Keywords
    functional equations; minimisation; pattern recognition; complex objects; functional equations; image registration; minimisation; modeling procedure; object modelling; pattern recognition; range images; three-dimensional information; Biological system modeling; Contracts; Data acquisition; Design automation; Intelligent robots; Intelligent systems; Manufacturing automation; Object recognition; Registers; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    0-8186-2163-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1991.132043
  • Filename
    132043