• DocumentCode
    3524518
  • Title

    Three-dimensional object recognition based intelligence system for identification

  • Author

    Chowdhary, Chiranji Lal ; Muatjitjeja, Kanguana ; Jat, Dharm Singh

  • Author_Institution
    Sch. of Inf. Technol. & Eng., VIT Univ., Vellore, India
  • fYear
    2015
  • fDate
    17-20 May 2015
  • Firstpage
    162
  • Lastpage
    166
  • Abstract
    If we compare the object recognition abilities of human and computer-based system, it is much complex task for a machine. Human brain can recognize an object quickly but for a computer system accuracy depends on the level of algorithms, software and tools used for recognition. Image processing, pattern recognition and compute vision are being challenging but becomes a crucial component for developing such a computer system in the modern digital world. Last four decades many researchers offered many algorithms to recognize objects from an image. If knowledge is acquired, how objects are appearing and an image to be identified from those objects. The intelligent system must be able to recognize different objects from the scenes or images. In this paper, we present a three-dimensional object recognition system based intelligence system to identify individuals.
  • Keywords
    computer vision; object recognition; computer vision; computer-based system; human brain; human-based system; image processing; individual identification; intelligence system; pattern recognition; three-dimensional object recognition; Artificial intelligence; Computer vision; Detectors; Face; Object recognition; Shape; Three-dimensional displays; histogram of oriented gradients; pre-processing; scale invariant feature transform; surveillance camera; three dimensional object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Networks and Computer Communications (ETNCC), 2015 International Conference on
  • Conference_Location
    Windhoek
  • Print_ISBN
    978-1-4799-7706-2
  • Type

    conf

  • DOI
    10.1109/ETNCC.2015.7184827
  • Filename
    7184827