• DocumentCode
    1967226
  • Title

    Shape recognition using machine learning

  • Author

    Gomez, Sebastian

  • Author_Institution
    Syst. & Comput. Eng., Univ. Tecnol. de Pereira, Pereira, Colombia
  • fYear
    2011
  • fDate
    4-6 May 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Computer vision is a growing field of computer science that intends to extract some useful information from images, usually taken from cameras or scanners. The ability to recognize shapes in images is often necessary in computer vision programs. This article describes how to make a program able to recognize basic geometrical figures by using machine learning. This article shows the image processing stages until feature extraction; Giving to the reader an idea of how to apply computer vision for other problems that involve shape recognition.
  • Keywords
    computational geometry; feature extraction; learning (artificial intelligence); shape recognition; computer vision; feature extraction; geometrical figures; image processing stages; machine learning; shape recognition; Computer vision; Computers; Image recognition; Machine learning; Pixel; Shape; Training; Artificial Intelligence; Computer vision; Machine learning; Pattern Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Congress (CCC), 2011 6th Colombian
  • Conference_Location
    Manizales
  • Print_ISBN
    978-1-4577-0285-3
  • Type

    conf

  • DOI
    10.1109/COLOMCC.2011.5936308
  • Filename
    5936308