A planar homography estimation method for camera calibration

More and more calibration methods are proposed based on planar homography. However, result accuracy of intrinsic parameters depends closely on homography estimation, which may be sensitive to noise. In this paper, a planar homography estimation method is introduced for camera calibration. It exploit...

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Bibliographic Details
Main Authors: Zhou Chuan, Tan Da Long, Zhu Feng, Dong Zai Li
Format: Conference Proceeding
Language:English
Subjects:
Calibration
Cameras
Computational modeling
Jacobian matrices
Laboratories
Layout
Least squares approximation
Least squares methods
Robot vision systems
Transmission line matrix methods
Online Access:Request full text
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Summary:More and more calibration methods are proposed based on planar homography. However, result accuracy of intrinsic parameters depends closely on homography estimation, which may be sensitive to noise. In this paper, a planar homography estimation method is introduced for camera calibration. It exploits both total least-squares method and multi-view constraints in order to increase the computational accuracy of this algorithm. Applying this technique to camera calibration will provide reliability and robustness in the presence of noise. Simulations and experiments with real images validate this method.
DOI:10.1109/CIRA.2003.1222127