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Generic camera model and its calibration for computational integral imaging and 3D reconstruction |
JOSA A, Vol. 28, Issue 3, pp. 318-326 (2011)
http://dx.doi.org/10.1364/JOSAA.28.000318
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Abstract
Integral imaging (II) is an important 3D imaging technology. To reconstruct 3D information of the viewed objects, modeling and calibrating the optical pickup process of II are necessary. This work focuses on the modeling and calibration of an II system consisting of a lenslet array, an imaging lens, and a charge-coupled device camera. Most existing work on such systems assumes a pinhole array model (PAM). In this work, we explore a generic camera model that accommodates more generality. This model is an empirical model based on measurements, and we constructed a setup for its calibration. Experimental results show a significant difference between the generic camera model and the PAM. Images of planar patterns and 3D objects were computationally reconstructed with the generic camera model. Compared with the images reconstructed using the PAM, the images present higher fidelity and preserve more high spatial frequency components. To the best of our knowledge, this is the first attempt in applying a generic camera model to an II system.
© 2011 Optical Society of America
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.6890) Image processing : Three-dimensional image processing
(110.6880) Imaging systems : Three-dimensional image acquisition
ToC Category:
Image Processing
History
Original Manuscript: May 7, 2010
Revised Manuscript: October 11, 2010
Manuscript Accepted: December 13, 2010
Published: February 10, 2011
Citation
Weiming Li and Youfu Li, "Generic camera model and its calibration for computational integral imaging and 3D reconstruction," J. Opt. Soc. Am. A 28, 318-326 (2011)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-28-3-318
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