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Camera Calibration from Images of Spheres
March 2007 (vol. 29 no. 3)
pp. 499-502
| ASCII Text | x | ||
| Hui Zhang, Kwan-Yee K. Wong, Guoqiang Zhang, "Camera Calibration from Images of Spheres," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 3, pp. 499-502, March, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/TPAMI.2007.45, author = {Hui Zhang and Kwan-Yee K. Wong and Guoqiang Zhang}, title = {Camera Calibration from Images of Spheres}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {29}, number = {3}, issn = {0162-8828}, year = {2007}, pages = {499-502}, doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.45}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Camera Calibration from Images of Spheres IS - 3 SN - 0162-8828 SP499 EP502 EPD - 499-502 A1 - Hui Zhang, A1 - Kwan-Yee K. Wong, A1 - Guoqiang Zhang, PY - 2007 KW - Calibration KW - sphere KW - silhouette KW - surface of revolution (SOR). VL - 29 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.45
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.
Index Terms:
Calibration, sphere, silhouette, surface of revolution (SOR).
Citation:
Hui Zhang, Kwan-Yee K. Wong, Guoqiang Zhang, "Camera Calibration from Images of Spheres," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 3, pp. 499-502, March 2007, doi:10.1109/TPAMI.2007.45
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