Ms. Qun Wu Profile

Qun Wu

at Beihang Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 13 June 2017 Paper

A new flexible calibration method for intrinsic parameters of the camera

Qun Wu, Zhen Liu

Proceedings Volume 10449, 104491A (2017) https://doi.org/10.1117/12.2270637

KEYWORDS: Cameras, Calibration, Optical testing, Optical calibration, Precision calibration, 3D image processing, 3D metrology, Dimensional metrology, Image processing

Read Abstract +

Camera calibration is a crucial key in image-based optical measurement. Calibration methods based on different targets are popular. The camera calibration method based on traditional sphere targets can calibrate cameras that are arranged in various angles at the same time, but the calibration precision is relatively low. The camera calibration method based on checkerboard-based targets proposed by Zhang offers a simple calibration process and high accuracy, but it is not suitable for simultaneous calibration of multiple cameras at different angles. In this paper, we propose a new form of target, namely, grid sphere target, which combines the advantages of sphere target and planar target. The grid sphere target is a sphere target with circles of latitude and longitude, similar to the globe. The proposed camera calibration method can not only calibrate cameras that are arranged in many different angles at the same time, but also obtain high accuracy similar to that of Zhang’s method. In the proposed method, the initial solutions of the intrinsic and extrinsic parameters of the camera are solved according to elliptical images of the latitude and longitude circles in the target. The intersection points of longitude and latitude circles are then used as the image feature points, and the optimal solutions of the intrinsic parameters of the camera are obtained by nonlinear optimization. Experimental results validate the effectiveness of the proposed method.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years