Automatic Chessboard Detection for Intrinsic and Extrinsic Camera Parameter Calibration Articles uri icon

publication date

  • March 2010

start page

  • 2027

end page

  • 2044

issue

  • 3

volume

  • 10

International Standard Serial Number (ISSN)

  • 1424-8220

abstract

  • There are increasing applications that require precise calibration of cameras to perform accurate measurements on objects located within images, and an automatic algorithm would reduce this time consuming
    calibration procedure. The method proposed in this article uses a
    pattern similar to that of a chess board, which is found automatically
    in each image, when no information regarding the number of rows or
    columns is supplied to aid its detection. This is carried out by means
    of a combined analysis of two Hough transforms, image corners and
    invariant properties of the perspective transformation. Comparative
    analysis with more commonly used algorithms demonstrate the viability of
    the algorithm proposed, as a valuable tool for camera calibration.