Two linear methods for camera calibration and their applications to augmented reality and 3D reconstruction

Authors:
Jang-Hwan Im;Ji-Hong Min;Hyung-Soo Ohk;Jong-Soo Choi
Affiliations:
Image Engineering Graduate School of Advanced Imaging Science Multimedia, and Film Chung-Ang University, Seoul, Korea;Image Engineering Graduate School of Advanced Imaging Science Multimedia, and Film Chung-Ang University, Seoul, Korea;Image Engineering Graduate School of Advanced Imaging Science Multimedia, and Film Chung-Ang University, Seoul, Korea;Image Engineering Graduate School of Advanced Imaging Science Multimedia, and Film Chung-Ang University, Seoul, Korea
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

Citing 7
Cited 0

Using vanishing points for camera calibration

International Journal of Computer Vision
Improving static and dynamic registration in an optical see-through HMD

SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Matrix computations (3rd ed.)

Matrix computations (3rd ed.)
A Flexible New Technique for Camera Calibration

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond

Multiple view geometry in computer visiond
Autocalibration and the absolute quadric

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Two-Stage Robust Statistical Method for Temporal Registration from Features of Various Type

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents two new compact camera calibration methods: one is derived from a calibration pattern that consists of two planes orthogonal to each other; the other is derived from a calibration pattern that consists of three planar patterns which need not to be orthogonal. In particular, these methods allow to vary the intrinsic parameters of a camera. In order to demonstrate the effectiveness of the proposed methods, two camera calibration methods are applied to an augmented reality system with a moving zoom lens camera and a 3D reconstruction system respectively. Two applications have shown that the proposed methods are reliable.