• DocumentCode
    602466
  • Title

    RMSD: A 3D real-time mid-level scene description system

  • Author

    Georgiev, Kiril ; Lakaemper, Rolf

  • Author_Institution
    Temple Univ., Temple, TX, USA
  • fYear
    2013
  • fDate
    15-17 Jan. 2013
  • Firstpage
    177
  • Lastpage
    183
  • Abstract
    This paper introduces a system for real-time, visual 3D scene description. A scene is described by planar patches and conical objects (cylinders, cones and spheres). The system makes use of sensor´s natural point order, dimensionality reduction and fast incremental model update (in O(1)) to first build 2D geometric features. These features approximate the original data and form candidate sets of possible 3D object models. The candidate sets are used by a region growing algorithm to extract all targeted 3D objects. This two step (raw data to 2D features to 3D objects) approach is able to process 30 frames per second on Kinect depth data, which allows for real-time tracking and feature based robot mapping based on 3D range data.
  • Keywords
    feature extraction; geometry; object tracking; path planning; real-time systems; robot vision; solid modelling; 2D feature extraction; 2D geometric features; 3D object extraction; 3D object models; 3D range data; 3D real-time mid-level scene description system; Kinect depth data; RMSD; candidate sets; conical objects; dimensionality reduction; fast incremental model update; feature based robot mapping; planar patches; real-time tracking; region growing algorithm; sensor natural point order; visual 3D scene description; Complexity theory; Data models; Feature extraction; Laser theory; Real-time systems; Robots; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot Vision (WORV), 2013 IEEE Workshop on
  • Conference_Location
    Clearwater Beach, FL
  • Print_ISBN
    978-1-4673-5646-6
  • Electronic_ISBN
    978-1-4673-5647-3
  • Type

    conf

  • DOI
    10.1109/WORV.2013.6521935
  • Filename
    6521935