• DocumentCode
    2307296
  • Title

    BOR3D: A use-case-oriented software framework for 3-D object recognition

  • Author

    Bertsche, Martin ; Fromm, Tobias ; Ertel, Wolfgang

  • Author_Institution
    Inst. of Artificial Intell., Ravensburg-Weingarten Univ. of Appl. Sci., Weingarten, Germany
  • fYear
    2012
  • fDate
    23-24 April 2012
  • Firstpage
    67
  • Lastpage
    72
  • Abstract
    3-D object recognition has become a major research topic. New low-cost sensors hit the market making 3-D vision affordable for anyone. On the software side, promising open-source tools and libraries have prospered recently. The most important one, regarding 3-D data processing, undoubtedly is the Point Cloud Library (PCL). From an integrator´s point of view, the main benchmarks applied to such a library are the amount of use cases that can be implemented and the effort that is entailed. We have noticed that the scientific community pays little attention to these needs. We hope to change this situation by proposing a framework that is primarily inspired by the PCL. Clearly separating the roles of its users, it leaves integration to the integrators and algorithms to the specialists. This way we hope to provide a means for development teams to participate in the recent advances even if they do not have a special focus on machine vision.
  • Keywords
    image sensors; object recognition; public domain software; software libraries; 3D data processing; 3D object recognition; 3D vision; BOR3D; PCL; low-cost sensors; open-source libraries; open-source tools; point cloud library; use-case-oriented software framework; Data models; Databases; Libraries; Object recognition; Sensors; Software; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Practical Robot Applications (TePRA), 2012 IEEE International Conference on
  • Conference_Location
    Woburn, MA
  • Print_ISBN
    978-1-4673-0855-7
  • Type

    conf

  • DOI
    10.1109/TePRA.2012.6215656
  • Filename
    6215656