Camera Calibration from Images of Spheres

Author

Zhang, Hui ; Wong, Kwan-Yee K. ; Zhang, Guoqiang

Author_Institution

Dept. of Comput. Sci., Hong Kong Univ.

Volume

29

Issue

3

fYear

2007

fDate

3/1/2007 12:00:00 AM

Firstpage

499

Lastpage

502

Abstract

This paper introduces a novel approach for solving the problem of camera calibration from spheres. By exploiting the relationship between the dual images of spheres and the dual image of the absolute conic (IAC), it is shown that the common pole and polar with regard to the conic images of two spheres are also the pole and polar with regard to the IAC. This provides two constraints for estimating the IAC and, hence, allows a camera to be calibrated from an image of at least three spheres. Experimental results show the feasibility of the proposed approach

Keywords

calibration; computational geometry; image sensors; maximum likelihood estimation; camera calibration; conic images; dual image; maximum likelihood estimation; spheres; Calibration; Cameras; Costs; Image reconstruction; Machine vision; Manufacturing; Parameter estimation; Calibration; silhouette; sphere; surface of revolution (SOR).; Algorithms; Artificial Intelligence; Calibration; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Photography; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2007.45

Filename

4069265