loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
16th International Conference on Pattern Recognition (ICPR'02) - Volume 2
A New Approach to Solving Kruppa Equations for Camera Self-Calibration
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Cheng Lei, Chinese Academy of Sciences
Fuchao Wu, Chinese Academy of Sciences
Zhanyi Hu, Chinese Academy of Sciences
H. T. Tsui, Chinese University of Hong Kong
In this paper, we propose a new approach to solving the Kruppa equations for camera self-calibration. Traditionally, the unknown scale factors in the Kruppa equations are eliminated first, leading to a set of non-linear constraints. Instead, we determine the scale factors by a Levenberg-Marquardt (LM) optimization or Genetic optimization technique first. Then, the camera?s intrinsic parameters are derived from the resulting linear constraints. Extensive simulations as well as experiments with real images verify that the above technique is both accurate and robust.
Index Terms:
Kruppa Equations, Camera Self-Calibration
Citation:
Cheng Lei, Fuchao Wu, Zhanyi Hu, H. T. Tsui, "A New Approach to Solving Kruppa Equations for Camera Self-Calibration," icpr, vol. 2, pp.20308, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
Usage of this product signifies your acceptance of the Terms of Use.