Camera Calibration: A Quick and Easy Way to Determine the Scale Factor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Catadioptric Camera Calibration Using Geometric Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
On the sensitivity analysis of camera calibration from images of spheres
Computer Vision and Image Understanding
Applications of projected circle centers in camera calibration
Machine Vision and Applications
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
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A spherical object has been introduced into camera calibration for several years through utilizing the properties of an image conic, which is the projection of the occluding contour of a sphere in the perspective image. However, in literature, only an algebraic interpretation was presented for the relation between the image of the absolute conic and sphere images. In this paper, we propose two geometric interpretations of this relation and two novel camera calibration methods using sphere images are derived from these geometric interpretations.