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http://dx.doi.org/10.5909/JBE.2009.14.3.299

Zoom Lens Distortion Correction Of Video Sequence Using Nonlinear Zoom Lens Distortion Model  

Kim, Dae-Hyun (School of Electrical and Electronic Engineering, Yonsei University)
Shin, Hyoung-Chul (School of Electrical and Electronic Engineering, Yonsei University)
Oh, Ju-Hyun (KBS Broadcast Technical Research Institute)
Nam, Seung-Jin (KBS Broadcast Technical Research Institute)
Sohn, Kwang-Hoon (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of Broadcast Engineering / v.14, no.3, 2009 , pp. 299-310 More about this Journal
Abstract
In this paper, we proposed a new method to correct the zoom lens distortion for the video sequence captured by the zoom lens. First, we defined the nonlinear zoom lens distortion model which is represented by the focal length and the lens distortion using the characteristic that lens distortion parameters are nonlinearly and monotonically changed while the focal length is increased. Then, we chose some sample images from the video sequence and estimated a focal length and a lens distortion parameter for each sample image. Using these estimated parameters, we were able to optimize the zoom lens distortion model. Once the zoom lens distortion model was obtained, lens distortion parameters of other images were able to be computed as their focal lengths were input. The proposed method has been made experiments with many real images and videos. As a result, accurate distortion parameters were estimated from the zoom lens distortion model and distorted images were well corrected without any visual artifacts.
Keywords
camera calibration; camera pose estimation; 3D reconstruction; mixed reality;
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