Static Calibration

Beiwei Zhang; Y. F. Li

doi:10.1007/978-94-007-2654-3_3

Static Calibration

Beiwei Zhang^*
, Y. F. Li

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › Chapter in research book/monograph/textbook (Author) › peer-review

Abstract

The camera calibration is an important step towards structure from motion, automobile navigation and many other vision tasks. It mainly refers to the determination of camera intrinsic parameters, e.g. the focal lengths, the skew factor and the principal point. In practice, a good calibration algorithm should be robust, computational efficient and as convenient as possible for implementing. In this chapter, we first introduce the basic theory and methodology for determining camera intrinsic parameters. Then three different planar patterns are designed for camera calibration based on the theories. Finally, camera distortion correction is discussed. We will show that these approaches satisfy the above requirements. Besides those theoretic investigations, we have presented some examples and experimental results to demonstrate their applications.

Original language	English
Title of host publication	Automatic Calibration and Reconstruction for Active Vision Systems
Publisher	Springer, Dordrecht
Chapter	3
Pages	35-56
ISBN (Electronic)	9789400726543
ISBN (Print)	9789400726536, 9789401781008
DOIs	https://doi.org/10.1007/978-94-007-2654-3_3
Publication status	Published - 2012

Publication series

Name	Intelligent Systems, Control and Automation: Science and Engineering
Volume	57
ISSN (Print)	2213-8986
ISSN (Electronic)	2213-8994

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abstract = "The camera calibration is an important step towards structure from motion, automobile navigation and many other vision tasks. It mainly refers to the determination of camera intrinsic parameters, e.g. the focal lengths, the skew factor and the principal point. In practice, a good calibration algorithm should be robust, computational efficient and as convenient as possible for implementing. In this chapter, we first introduce the basic theory and methodology for determining camera intrinsic parameters. Then three different planar patterns are designed for camera calibration based on the theories. Finally, camera distortion correction is discussed. We will show that these approaches satisfy the above requirements. Besides those theoretic investigations, we have presented some examples and experimental results to demonstrate their applications.",

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Static Calibration. / Zhang, Beiwei; Li, Y. F.
Automatic Calibration and Reconstruction for Active Vision Systems. Springer, Dordrecht, 2012. p. 35-56 (Intelligent Systems, Control and Automation: Science and Engineering; Vol. 57).

Research output: Chapters, Conference Papers, Creative and Literary Works › Chapter in research book/monograph/textbook (Author) › peer-review

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AB - The camera calibration is an important step towards structure from motion, automobile navigation and many other vision tasks. It mainly refers to the determination of camera intrinsic parameters, e.g. the focal lengths, the skew factor and the principal point. In practice, a good calibration algorithm should be robust, computational efficient and as convenient as possible for implementing. In this chapter, we first introduce the basic theory and methodology for determining camera intrinsic parameters. Then three different planar patterns are designed for camera calibration based on the theories. Finally, camera distortion correction is discussed. We will show that these approaches satisfy the above requirements. Besides those theoretic investigations, we have presented some examples and experimental results to demonstrate their applications.

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SN - 9789401781008

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BT - Automatic Calibration and Reconstruction for Active Vision Systems

PB - Springer, Dordrecht

ER -

Static Calibration

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