Title
Easy Camera Calibration From Inter-Image Homographies
Abstract
This paper addresses the problem of calibrating a pinhole camera using images of a symmetric object. Assuming a unit aspect ratio, and zero skew, we show that inter-image homographies can be expressed as a function of the principal point. By minimizing the symmetric transfer error of geometric distances, we thus obtain an accurate solution for the calibration parameters. We show that the approach can also be extended to a calibration technique using images of a 1D object with a fixed pivoting point. The advantage of our approach over existing methods is that we rely only on inter-image homgraphies, and hence no knowledge of the world to image homography is required. To demonstrate the effectiveness of the approach both in the case of symmetric objects and 1D objects, we present the processing results for both synthetic and real images, and provide a quantitative comparison with Zhang's flexible calibration technique (2000), and his 1D calibration method (2002).
Publication Date
1-1-2004
Publication Title
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume
2004-January
Issue
January
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/CVPR.2004.328
Copyright Status
Unknown
Socpus ID
84932610959 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84932610959
STARS Citation
Cao, Xiaochun and Foroosh, Hassan, "Easy Camera Calibration From Inter-Image Homographies" (2004). Scopus Export 2000s. 5492.
https://stars.library.ucf.edu/scopus2000/5492
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