Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision and Applications
A Simple and Efficient Algorithm for Detection of High Curvature Points in Planar Curves
A Simple and Efficient Algorithm for Detection of High Curvature Points in Planar Curves
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
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In this work we present a method for calibrating and removing nonlinear geometric distortion of an imaging device. The topic is of importance since most reasoning in projective geometry requires the projection to be strictly line preserving. The model of radial-symmetric pincushion or barrel distortions, is generally not sufficient to compensate for all non-linearities of the projection, this is true especially for wide-angle cameras. Therefore we applied a more complex parametric model to compensate for the non-central distortion effects. The only a-priori knowledge that is used is the straightness of some edges in the recorded image. In our experiments we could show that the method is applicable especially for off-the-self cameras with medium quality optics.