Computer Vision and Image Understanding
Comparing self-calibration methods for static cameras
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
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Perspective camera calibration has been in the last decades a research subject for a large group of researchers and as a result several camera calibration methodologies can be foundin the literature. However only a small number of those methods base their approaches on the use of monoplane calibration points to realize an explicit 3D camera calibration. To avoid the singularity obtained with the calibration equations when monoplane calibration points are used, this method computes the calibration parameters in a multi-step procedure and requires a first-guess solution for the intrinsic parameters. These parameters are updated and their accuracy increased through an iterative procedure. A stability analysis as a function of the pose of the camera is presented. Camera pose view strategies for accurate camera orientation computation can be extracted from the pose view stability analysis.