Title
Robust Auto-Calibration Of A Ptz Camera With Non-Overlapping Fov
Abstract
We consider the problem of auto-calibration of cameras, which are fixed in location but are free to rotate while changing their internal parameters by zooming. Our method is based on line correspondences between two views, which may have non-overlapping field of view. Camera calibration from images having non-overlapping field of view is the basic motivation behind this research. The key observation is that the planes formed by the optic center and the line correspondences are really the same plane. We use this fact together with the orthonormality constraint of the rotation matrix to estimate the unknown camera parameters. We show experimental results on synthetic and real data, and analyze the accuracy and stability of our method. © 2008 IEEE.
Publication Date
1-1-2008
Publication Title
Proceedings - International Conference on Pattern Recognition
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/icpr.2008.4761570
Copyright Status
Unknown
Socpus ID
77957964315 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77957964315
STARS Citation
Ashraf, Nazim and Foroosh, Hassan, "Robust Auto-Calibration Of A Ptz Camera With Non-Overlapping Fov" (2008). Scopus Export 2000s. 10925.
https://stars.library.ucf.edu/scopus2000/10925