Lens distortion rectification using triangulation based interpolation

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11th International Symposium on Advances in Visual Computing , ISVC 2015, Las Vegas, United States Of America, 14 - 16 December 2015, vol.9475, pp.35-44 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 9475
  • Doi Number: 10.1007/978-3-319-27863-6_4
  • City: Las Vegas
  • Country: United States Of America
  • Page Numbers: pp.35-44
  • Anadolu University Affiliated: Yes


© Springer International Publishing Switzerland 2015.Nonlinear lens distortion rectification is a common first step in image processing applications where the assumption of a linear camera model is essential. For rectifying the lens distortion, forward distortion model needs to be known. However, many self-calibration methods estimate the inverse distortion model. In the literature, the inverse of the estimated model is approximated for image rectification, which introduces additional error to the system. We propose a novel distortion rectification method that uses the inverse distortion model directly. The method starts by mapping the distorted pixels to the rectified image using the inverse distortion model. The resulting set of points with subpixel locations are triangulated. The pixel values of the rectified image are linearly interpolated based on this triangulation. The method is applicable to all camera calibration methods that estimate the inverse distortion model and performs well across a large range of parameters.