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Camera Calibration Based on Polynomial Fitting

Authors: Guoquan Jiang; Cuijun Zhao;

Camera Calibration Based on Polynomial Fitting

Abstract

Camera calibration is a fundamental task in photogrammetry and computer vision. This paper presents an approach for geometric calibration of digital cameras. The mapping relation between the image coordinate and the world coordinate can be described by a polynomial. The coefficients and ranks of the polynomial are computed by the minimal 6 corresponding points in the two coordinate systems. This method can calibrate the camera directly without calculating the camera's intrinsic parameters and extrinsic parameters, which decreases the complexity of calculation. Experimental results show the precision and robustness of the presented method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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