loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 2
A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images
Hilton Head, South Carolina
June 13-June 15
ISBN: 0-7695-0662-3
ASCII Text
x 
 
Gang Xu, Jun-ichi Terai, Heung-Yeung Shum, "A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2, pp. 2474, 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 2, 2000.
 
 
BibTex
x
 
@article{ 10.1109/CVPR.2000.854886,
author = {Gang Xu and Jun-ichi Terai and Heung-Yeung Shum},
title = {A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {2},
year = {2000},
issn = {1063-6919},
pages = {2474},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2000.854886},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images
SN - 1063-6919
SP
EP
A1 - Gang Xu,
A1 - Jun-ichi Terai,
A1 - Heung-Yeung Shum,
PY - 2000
VL - 2
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Gang Xu, Microsoft Research China
Jun-ichi Terai, Microsoft Research China
Heung-Yeung Shum, Microsoft Research China
In this paper, we show that given two homography matrices for two planes in space, there is a linear algorithm for the rotation and translation between the two cameras, the focal lengths of the two cameras and the plane equations in the space. Using the estimates as an initial guess, we can further optimize the solution by minimizing the difference between observations and re-projections. Experimental results are shown. We also provide a discussion about the relationship between this approach and the Kruppa equation.
Citation:
Gang Xu, Jun-ichi Terai, Heung-Yeung Shum, "A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images," cvpr, vol. 2, pp.2474, 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 2, 2000
Usage of this product signifies your acceptance of the Terms of Use.