Line-Based Camera Calibration

In this paper, a new line-based camera calibration technique is presented. Firstly, the relation between dimensional line parameters and projective line parameters is deduced. Using more than three dimensional lines which are not parallel with each other, the camera intrinsic parameters can be deter...

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Bibliographic Details
Published inComputational Intelligence and Security pp. 1009 - 1014
Main Authors Chu, Xiuqin, Hu, Fangming, Li, Yushan
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Camera Calibration
Computer science; control theory; systems
Exact sciences and technology
Extrinsic Parameter
Image Point
Line Parameter
Perspective Projection
Focal length
Parallelism
Calibration
Safety
Artificial intelligence
Modeling
Mean square error
Noise level
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Summary:In this paper, a new line-based camera calibration technique is presented. Firstly, the relation between dimensional line parameters and projective line parameters is deduced. Using more than three dimensional lines which are not parallel with each other, the camera intrinsic parameters can be determined by solving linear equations. Experiment results show that in same noise level the mean attained by this method is more closer to factual value and MSE is smaller by about 65% than classic point-based technique.
ISBN:9783540308188
3540308180
ISSN:0302-9743
1611-3349
DOI:10.1007/11596448_150