Abstract
We present a scheme for simultaneous calibration of a continuously moving and continuously zooming camera: placing an easily distinguishable pattern in the scene, we calibrate the camera from an unoccluded portion of the pattern image in each frame. We describe an optimal method which provides an evaluation of the reliability of the solution. We then propose a technique for avoiding the inherent degeneracy and statistical fluctuations by model selection using the geometric AIC and the geometric MDL.
Cite
CITATION STYLE
Matsunaga, C., & Kanatani, K. (2000). Calibration of a moving camera using a planar pattern: Optimal computation, reliability evaluation, and stabilization by model selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1843, pp. 595–609). Springer Verlag. https://doi.org/10.1007/3-540-45053-x_38
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