IEEE Transactions on Pattern Analysis and Machine Intelligence
Implicit and Explicit Camera Calibration: Theory and Experiments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lens Distortion Recovery for Accurate Sequential Structure and Motion Recovery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Catadioptric Camera Calibration Using Geometric Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Interpretations of the Relation between the Image of the Absolute Conic and Sphere Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration from Images of Spheres
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust metric calibration of non-linear camera lens distortion
Pattern Recognition
A simple method for correcting lens distortion in low-cost camera using geometric invariability
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
IEEE Transactions on Fuzzy Systems
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Interpreting sphere images using the double-contact theorem
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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The author presents a quick and easy solution to the camera calibration problem of finding the scale factor that arises because of a difference between the scanning frequency of the camera sensor plane and the scanning frequency of the image capture board frame buffer. The method presented is based on the observation that the scale factor is related to the distortion in an image of a circle: this is a distortion that can easily be measured by considering the occluding boundary of a precisely fabricated sphere, such as a ball bearing. Implementation results are presented.