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http://dx.doi.org/10.4218/etrij.13.0213.0087

A New Solution for Projective Reconstruction Based on Coupled Line Cameras  

Lee, Joo-Haeng (IT Convergence Technology Research Laboratory, ETRI)
Publication Information
ETRI Journal / v.35, no.5, 2013 , pp. 939-942 More about this Journal
Abstract
We provide a new solution for the projective reconstruction problem based on coupled line cameras (CLCs) and their geometric properties. The proposed solution is composed of a series of optimized steps, and each step is more efficient than those of the initial solution proposed in [1]. We also give a new determinant condition for rectangle determination, which leads to less ambiguity in implementation. The key steps of the proposed solution can be represented with more compact analytic equations due to the intuitive geometric interpretations of the projective reconstruction problem based on CLCs: the center of projection corresponds to the intersection point of the two solution circles of each line camera involved.
Keywords
Geometric computer vision; projective reconstruction; coupled line cameras; camera calibration; diagonal parameterization;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 J.-H. Lee, "An Analytic Solution to a Projector Pose Estimation Problem," ETRI J., vol. 34, no. 6, Dec. 2012, pp. 978-981.   DOI   ScienceOn
2 J.-H. Lee, "Camera Calibration from a Singe Image Based on Coupled Line Cameras and Rectangle Constraint," Proc. ICPR, 2012, pp. 758-762.
3 R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed., Cambridge University Press, 2004.
4 W. Wu, Z. Chen, and Z.T Jiang, "A New Camera Calibration Method Based on Rectangle Constraint," Proc. ISA, 2010, pp. 1-4.
5 H. Li et al., "Mobile Robot Position Identification with Specially Designed Landmarks," Proc. FCST, 2009, pp. 285-291.
6 J.-S. Kim and I.S. Kweon, "Estimating Intrinsic Parameters of Cameras Using Two Arbitrary Rectangles," Proc. ICPR, 2006, pp. 707-710.
7 O. Bimber and R. Raskar, Spatial Augmented Reality: Merging Real and Virtual Worlds, Wellesley, MA: A K Peters, Ltd., 2005.