• DocumentCode
    2018356
  • Title

    Extraction and Recognition Algorithm in 3D Object Features

  • Author

    Sukimin, Zuraini ; Haron, Habibollah

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai
  • fYear
    2009
  • fDate
    25-29 May 2009
  • Firstpage
    57
  • Lastpage
    60
  • Abstract
    Extraction of 3D object is often an important pre-processing step in recognizing object. Analysis over previous related works of multiple researchers necessitates the use of either feature selection algorithm or extraction algorithm prior to classification. Algorithm becomes an important part of future application programs for checking design rules and generating manufacturing advice and plans. In this paper, the authors present the methodology used in developing the algorithm proposed. The process is focusing in designing, analysis and extraction over DXF file format. Presents also the algorithm develops in extracting and recognizing the object. The process of recognition object may involve extraction on code of the design. This extraction process will reject and select some of the code which is suspected notoriously redundant. Only relevant information from the code of the design will be extract. Although the algorithm successfully works, further work still needs to be done to make it more functional.
  • Keywords
    feature extraction; feature selection algorithm; features extraction; recognition algorithm; Algorithm design and analysis; Classification algorithms; Computer aided manufacturing; Computer science; Data mining; Design automation; Feature extraction; Geometry; Information systems; Production; Algorithm; DXF; Features extraction; Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-4154-9
  • Electronic_ISBN
    978-0-7695-3648-4
  • Type

    conf

  • DOI
    10.1109/AMS.2009.93
  • Filename
    5071958