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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 31, Iss. 6 — Jun. 1, 2014
  • pp: 1186–1193

Recovering Euclidean structure from principal-axes paralleled conics: applications to camera calibration

Zijian Zhao and Ying Weng  »View Author Affiliations


JOSA A, Vol. 31, Issue 6, pp. 1186-1193 (2014)
http://dx.doi.org/10.1364/JOSAA.31.001186


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Abstract

We focus on recovering the 2D Euclidean structure further for camera calibration from the projections of N parallel similar conics in this paper. This work demonstrates that the conic dual to the absolute points (CDAP) is the general form of the conic dual to the circular points, so it encodes the 2D Euclidean structure. However, the geometric size of the conic should be known if we utilize the CDAP. Under some special conditions (concentric conics), we proposed the rank-1 and rank-2 constraints. Our work relaxes the problem conditions and gives a more general framework than before. Experiments with simulated and real data are carried out to show the validity of the proposed algorithm.

© 2014 Optical Society of America

OCIS Codes
(150.0150) Machine vision : Machine vision
(330.7310) Vision, color, and visual optics : Vision
(150.1135) Machine vision : Algorithms
(150.1488) Machine vision : Calibration

ToC Category:
Machine Vision

History
Original Manuscript: January 13, 2014
Manuscript Accepted: April 5, 2014
Published: May 12, 2014

Citation
Zijian Zhao and Ying Weng, "Recovering Euclidean structure from principal-axes paralleled conics: applications to camera calibration," J. Opt. Soc. Am. A 31, 1186-1193 (2014)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-31-6-1186


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