Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2003-08-02
Computer Science
Computer Vision and Pattern Recognition
14 pages, 11 eps figures
Scientific paper
The commonly used radial distortion model for camera calibration is in fact an assumption or a restriction. In practice, camera distortion could happen in a general geometrical manner that is not limited to the radial sense. This paper proposes a simplified geometrical distortion modeling method by using two different radial distortion functions in the two image axes. A family of simplified geometric distortion models is proposed, which are either simple polynomials or the rational functions of polynomials. Analytical geometric undistortion is possible using two of the distortion functions discussed in this paper and their performance can be improved by applying a piecewise fitting idea. Our experimental results show that the geometrical distortion models always perform better than their radial distortion counterparts. Furthermore, the proposed geometric modeling method is more appropriate for cameras whose distortion is not perfectly radially symmetric around the center of distortion.
Chen YangQuan
Ma Lili
Moore Kevin L.
No associations
LandOfFree
A Family of Simplified Geometric Distortion Models for Camera Calibration does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Family of Simplified Geometric Distortion Models for Camera Calibration, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Family of Simplified Geometric Distortion Models for Camera Calibration will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-156304