DocumentCode :
996809
Title :
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
Link To Document :
بازگشت