• DocumentCode
    1565344
  • Title

    3D object recognition technique based on muti-resolution aspect graph

  • Author

    Yuan-Luo ; Huimin-ma ; Fengting-Li

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • Volume
    2
  • fYear
    2005
  • Firstpage
    1168
  • Lastpage
    1172
  • Abstract
    Aspect graph enables new and exciting applications, but also poses significant technical challenges. In this paper, we give a brief overview of aspect graph and its applications with an emphasis on 3D object recognition at first. We then compare various partition algorithms for aspect graph space and analyze their advantages and disadvantages; furthermore we give two improving methods to aspect graph space partition: pruning strategy and approximating approach. Finally, based on a specific application on airplane recognition, we propose a 3D object recognition strategy using multi-resolution aspect graph, and the result shows that it can effectively solve the problems of practicability and stability in actual 3D object recognition
  • Keywords
    graph theory; image resolution; object recognition; 3D object recognition technique; approximating approach; multi-resolution aspect graph; partition algorithms; pruning strategy; Airplanes; Algorithm design and analysis; Data structures; Equations; Humans; Object recognition; Partitioning algorithms; Spatial resolution; Stability; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614823
  • Filename
    1614823