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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 4 — Feb. 25, 2013
  • pp: 4456–4474

Linear stratified approach using full geometric constraints for 3D scene reconstruction and camera calibration

Jae-Hean Kim and Bon-Ki Koo  »View Author Affiliations


Optics Express, Vol. 21, Issue 4, pp. 4456-4474 (2013)
http://dx.doi.org/10.1364/OE.21.004456


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Abstract

This paper presents a new linear framework to obtain 3D scene reconstruction and camera calibration simultaneously from uncalibrated images using scene geometry. Our strategy uses the constraints of parallelism, coplanarity, colinearity, and orthogonality. These constraints can be obtained in general man-made scenes frequently. This approach can give more stable results with fewer images and allow us to gain the results with only linear operations. In this paper, it is shown that all the geometric constraints used in the previous works performed independently up to now can be implemented easily in the proposed linear method. The study on the situations that cannot be dealt with by the previous approaches is also presented and it is shown that the proposed method being able to handle the cases is more flexible in use. The proposed method uses a stratified approach, in which affine reconstruction is performed first and then metric reconstruction. In this procedure, the additional constraints newly extracted in this paper have an important role for affine reconstruction in practical situations.

© 2013 OSA

OCIS Codes
(150.0155) Machine vision : Machine vision optics
(150.1135) Machine vision : Algorithms
(150.1488) Machine vision : Calibration

ToC Category:
Machine Vision

History
Original Manuscript: November 30, 2012
Revised Manuscript: January 28, 2013
Manuscript Accepted: January 29, 2013
Published: February 13, 2013

Citation
Jae-Hean Kim and Bon-Ki Koo, "Linear stratified approach using full geometric constraints for 3D scene reconstruction and camera calibration," Opt. Express 21, 4456-4474 (2013)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-21-4-4456


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