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Optical Engineering

Three-dimensional integral imaging by using unknown sensor array position calibration with a closed-form solution
Author(s): Faliu Yi; Jieun Lee; Inkyu Moon
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Paper Abstract

We propose an automated calibration method with a closed-form solution for three-dimensional (3-D) integral imaging with randomly distributed sensors of unknown positions in 3-D space. In the method presented, a robust feature-detection algorithm is applied to the elemental image set, and the matching features are used to derive the relations between the corresponding sensors. Once all the sensor positions are determined, the 3-D objects are reconstructed with a ray backprojection reconstruction scheme. The 3-D objects can also be reconstructed from multiple perspectives in this method. To the best of our knowledge, this is the first report on 3-D integral imaging using automated sensor position estimation with a closed-form solution. This approach can provide 3-D object reconstruction without any known sensor positions in a 3-D space.

Paper Details

Date Published: 5 February 2016
PDF: 8 pages
Opt. Eng. 55(2) 023104 doi: 10.1117/1.OE.55.2.023104
Published in: Optical Engineering Volume 55, Issue 2
Show Author Affiliations
Faliu Yi, Chosun Univ. (Republic of Korea)
Jieun Lee, Chosun Univ. (Republic of Korea)
Inkyu Moon, Chosun Univ. (Republic of Korea)


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