New multiple-camera calibration method for a large number of cameras

Yuuya Kojima; Toshiaki Fujii; Masayuki Tanimoto

doi:10.1117/12.587700

17 January 2005 New multiple-camera calibration method for a large number of cameras

Yuuya Kojima, Toshiaki Fujii, Masayuki Tanimoto

Author Affiliations +

Proceedings Volume 5665, Videometrics VIII; 56650G (2005) https://doi.org/10.1117/12.587700
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

In a multiple camera system that consists of a large number of cameras, each camera has to be calibrated in order to use the image information obtained from them effectively. When a target scene is large, the conventional calibration methods using 3D or 2D object are difficult to apply because setting these objects is an elaborate task. Although another approach called self-calibration using only image point correspondences seems to be suitable in such a situation, this method is often susceptible to noise. In this paper, we propose a new camera calibration method for such systems using 1D object, which has three points on a line with known distances of each other. The main reason for using 1D object as a calibration object is because it is more flexible than 3D or 2D object in a large scene. By using the free-moving 1D object without knowledge about its position and only one calibrated camera, we can calibrate multiple cameras simultaneously, so the proposed method presents an easy and practical solution. Experimental results of computer-simulated data are shown in this paper. In the presentation, experimental results of real image data will be presented.

Citation Download Citation

Yuuya Kojima, Toshiaki Fujii, and Masayuki Tanimoto "New multiple-camera calibration method for a large number of cameras", Proc. SPIE 5665, Videometrics VIII, 56650G (17 January 2005); https://doi.org/10.1117/12.587700

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE