A multistage camera self-calibration algorithm

Author

Gao, Yongying ; Radha, Hayder

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA

Volume

3

fYear

2004

fDate

17-21 May 2004

Abstract

We present a new camera self-calibration algorithm that uses a low-complexity multistage approach. We derive a polynomial optimization function with respect to the camera intrinsic parameters, based on the equal singular value property of the essential matrix. In terms of the stability analysis of the intrinsic parameters, we propose a multistage procedure to refine the estimation. Experimental results with both synthetic and real images show the accuracy and robustness of our method.

Keywords

calibration; cameras; image processing; numerical stability; optimisation; parameter estimation; singular value decomposition; automatic 3D reconstruction; camera intrinsic parameters determination; computer vision; essential matrix singular value property; intrinsic parameter stability analysis; multistage camera self-calibration algorithm; polynomial optimization function; Calibration; Cameras; Computer vision; Eigenvalues and eigenfunctions; Equations; Image reconstruction; Polynomials; Robustness; Stability analysis; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326600

Filename

1326600