Conference Proceeding

The Comparison of Camera Calibration Methods Based on Structured-Light Measurement

06/2008; DOI:10.1109/CISP.2008.163 ISBN: 978-0-7695-3119-9 pp.155 - 160 In proceeding of: Image and Signal Processing, 2008. CISP '08. Congress on, Volume: 2
Source: IEEE Xplore

ABSTRACT Camera calibration is a necessary step in using 3D computer vision to extract metric information from 2D images. Based on the positioning theory of the linear-structured-light, this paper analyses and compares the three popular calibration methods: typical linear calibration, Tsai’s two-stage calibration and Zhang’s planar pattern calibration in the aspects of referenced objects, arithmetic and precision by measuring the position of space points. Considering the feature points’ importance, we adopted an improved arithmetic based on Harris to extract the points of the planar pattern. It is concluded that Zhang’s method has the best practicability and validity, and this has been verified by experiment.

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Keywords

2D images
 
3D computer vision
 
arithmetic
 
feature points’ importance
 
improved arithmetic
 
linear-structured-light
 
metric information
 
necessary step
 
paper analyses
 
planar pattern
 
practicability
 
referenced objects
 
typical linear calibration
 
Zhang’s planar pattern calibration