By Topic

Convenient calibration method for unsynchronized multi-camera networks using a small reference object

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jae-Hean Kim ; Content Res. Div., Electron. & Telecommun. Res. Inst., Daejeon, South Korea ; Bon-Ki Koo

A new convenient calibration algorithm is proposed for unsynchronized multi-camera networks having large capture volume. The proposed method gives a simple and accurate calibration mean using a small 3D reference object. Extrinsic and intrinsic parameters are recovered simultaneously by capturing the object placed arbitrarily in different locations in the capture volume. The proposed method first solves the problem linearly with factorizing projection matrices into the camera and the object pose parameters. Due to the multi-view constraints imposed on the factorization, the consistency of rigid transformations among cameras and objects can be acquired. These consistent estimation results can be further refined by a non-linear optimization process. The proposed algorithm is evaluated via simulated and real experiments to verify that it is more efficient than previous methods.

Published in:

Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on

Date of Conference:

7-12 Oct. 2012