Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326600