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Recovering Euclidean Structure from Principal-axes paralleled conics: Applications to camera calibration

Zhao, Z and Weng, Y. (2014) Recovering Euclidean Structure from Principal-axes paralleled conics: Applications to camera calibration. Journal of the Optical Society of America. A, Optics, image science and vision, 31 ((6)). pp. 1186-1193. DOI: 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.

Item Type: Article
Subjects: Research Publications
Departments: College of Physical and Applied Sciences > School of Computer Science
Date Deposited: 09 Dec 2014 16:29
Last Modified: 23 Sep 2015 02:57
ISSN: 1084-7529
URI: http://e.bangor.ac.uk/id/eprint/294
Identification Number: DOI: 10.1364/JOSAA.31.001186
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