• DocumentCode
    2912917
  • Title

    Automatic orienting of 3D shapes by using a new data structure for object modeling

  • Author

    Adan, Antonio ; Cerrada, C. ; Feliu, V.

  • Author_Institution
    Escuela Tecnica Superior de Ingenieria Inf., Univ. de Castilla La Mancha, Spain
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2881
  • Abstract
    Presents a solution to the problem of determining the orientation of arbitrarily located 3D parts. The proposed algorithm is based on a new data structure specifically designed to store spherical representation models of 3D objects. This data structure called modeling wave set (MWS), allows keeping redundant information about local and global features of an object under a unique framework. It involves a different approach to deal with the modeling process providing new methods for solving generic problems like object recognition or pose determination. The algorithm described in this work is based on the fact that a rotation of a solid can be seen as a change in the wave used to model it, because of the invariance to spatial transformation of the MWS structure. This property makes an algorithm simpler and with lower computational cost than any other method based on spherical representations. The algorithm has been tested over a wide set of polyhedral and free-from shapes. Success ratio and 3D orienting errors obtained with the proposed algorithm can be considered as acceptable
  • Keywords
    computer vision; data structures; object recognition; 3D orienting errors; 3D shapes; automatic orienting; global features; local features; modeling wave set; object modeling; pose determination; redundant information; spherical representation models; success ratio; Algorithm design and analysis; Computational efficiency; Computer errors; Data structures; Object recognition; Robot sensing systems; Robot vision systems; Shape; Solid modeling; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.774034
  • Filename
    774034