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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 21 — Oct. 8, 2012
  • pp: 23044–23052

Optics InfoBase > Optics Express > Volume 20 > Issue 21 > Page 23044

Depth extraction of 3D objects using axially distributed image sensing

Suk-Pyo Hong, Donghak Shin, Byung-Gook Lee, and Eun-Soo Kim  »View Author Affiliations


Optics Express, Vol. 20, Issue 21, pp. 23044-23052 (2012)
http://dx.doi.org/10.1364/OE.20.023044


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Abstract

Axially distributed image sensing (ADS) technique is capable of capturing 3D objects and reconstructing high-resolution slice plane images for 3D objects. In this paper, we propose a computational method for depth extraction of 3D objects using ADS. In the proposed method, the high-resolution elemental images are recorded by simply moving the camera along the optical axis and the recorded elemental images are used to generate a set of 3D slice images using the computational reconstruction algorithm based on ray back-projection. To extract depth of 3D object, we propose the simple block comparison algorithm between the first elemental image and a set of 3D slice images. This provides a simple computation process and robustness for depth extraction. To demonstrate our method, we carry out the preliminary experiments of three scenarios for 3D objects and the results are presented. To our best knowledge, this is the first report to extract the depth information using an ADS method.

© 2012 OSA

OCIS Codes
(100.6890) Image processing : Three-dimensional image processing
(110.4190) Imaging systems : Multiple imaging
(110.6880) Imaging systems : Three-dimensional image acquisition

ToC Category:
Imaging Systems

History
Original Manuscript: July 20, 2012
Revised Manuscript: September 17, 2012
Manuscript Accepted: September 18, 2012
Published: September 24, 2012

Citation
Suk-Pyo Hong, Donghak Shin, Byung-Gook Lee, and Eun-Soo Kim, "Depth extraction of 3D objects using axially distributed image sensing," Opt. Express 20, 23044-23052 (2012)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-20-21-23044


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