Calibrate a moving camera on a linear translating stage using virtual plane + parallax

Authors:
Xiaoqiang Zhang;Yanning Zhang;Tao Yang;Zhengxi Song
Affiliations:
ShaanXi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China;ShaanXi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China;ShaanXi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China;ShaanXi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
Venue:
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Year:
2012

Citing 6
Cited 0

A Flexible New Technique for Camera Calibration

IEEE Transactions on Pattern Analysis and Machine Intelligence
High performance imaging using large camera arrays

ACM SIGGRAPH 2005 Papers
Natural video matting using camera arrays

ACM SIGGRAPH 2006 Papers
Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Light Fields and Computational Imaging

Computer
Continuously tracking and see-through occlusion based on a new hybrid synthetic aperture imaging model

CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

For a fixed camera array, the limited number of views restricts the quality of the imaging result. In this paper, we build a virtual dense camera array using different views from a single moving camera to increase the number of view conveniently. A virtual plane + parallax based calibration algorithm is proposed to estimate the relative positions between different views. The main characteristics of this system and calibration approach include: (1) Due to the mobility, one can vary views in the light of different scene configurations. (2) Via calibrating the moving camera under the plane + parallax framework, the computation cost of aligning images from all views is reduced. (3) A moving camera system is set up by mounting a camera on a translating stage which can slide on a linear track. Extensive experiment results demonstrate that our approach can enhance detail and quality of the occluded objects effectively compared to the fixed camera array synthetic aperture imaging approach.