@inproceedings{bc904abdea6d4d8c9a5af70c54205155,
title = "Calibration of a different field-of-view stereo camera system using an embedded checkerboard pattern",
abstract = "Knowing the correct relative pose between cameras is considered as the first and foremost important step in a stereo camera system. It has been of the interest in many computer vision related experiments. Much work has been introduced for stereo systems with relatively common field-of-views; where a few number of advanced feature points-based methods have been presented for partially overlapping field-of-view systems. In this paper, we propose a new, yet simplified, method to calibrate a partially overlapping field-of-view heterogeneous stereo camera system using a specially designed embedded planar checkerboard pattern. The embedded pattern is a combination of two differently colored planar patterns with different checker sizes. The heterogeneous camera system comprises a lower focal length wide-angle camera and a higher focal length conventional narrow-angle camera. Relative pose between the cameras is calculated by multiplying transformation matrices. Our proposed method becomes a decent alternative to many advanced feature-based techniques. We show the robustness of our method through re-projection error and comparing point difference values in 'Y' axis in image rectification results.",
keywords = "Camera Calibration, Embedded Checkerboard Pattern, Field-of-view, Heterogeneous Camera System, Image Rectification, Relative Pose Estimation, Stereo",
author = "Pathum Rathnayaka and Baek, {Seung Hae} and Park, {Soon Yong}",
note = "Publisher Copyright: {\textcopyright} 2017 by SCITEPRESS - Science and Technology Publications, Lda.; 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017 ; Conference date: 27-02-2017 Through 01-03-2017",
year = "2017",
doi = "10.5220/0006267802940300",
language = "English",
series = "VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
publisher = "SciTePress",
pages = "294--300",
editor = "Francisco Imai and Alain Tremeau and Jose Braz",
booktitle = "VISAPP",
}