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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 29, Iss. 5 — May. 1, 2012
  • pp: 767–771

3D photon counting integral imaging with unknown sensor positions

Xiao Xiao and Bahram Javidi  »View Author Affiliations


JOSA A, Vol. 29, Issue 5, pp. 767-771 (2012)
http://dx.doi.org/10.1364/JOSAA.29.000767


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Abstract

Photon counting techniques have been introduced with integral imaging for three-dimensional (3D) imaging applications. The previous reports in this area assumed a priori knowledge of exact sensor positions for 3D image reconstruction, which may be difficult to satisfy in certain applications. In this paper, we extend the photon counting 3D imaging system to situations where sensor positions are unknown. To estimate sensor positions in photon counting integral imaging, scene details of photon counting images are needed for image correspondences matching. Therefore, an iterative method based on the total variation maximum a posteriori expectation maximization (MAP-EM) algorithm is used to restore photon counting images. Experimental results are presented to show the feasibility of the method. To the best of our knowledge, this is the first report on 3D photon counting integral imaging with unknown sensor positions.

© 2012 Optical Society of America

OCIS Codes
(030.5260) Coherence and statistical optics : Photon counting
(100.3020) Image processing : Image reconstruction-restoration
(110.6880) Imaging systems : Three-dimensional image acquisition
(150.6910) Machine vision : Three-dimensional sensing

ToC Category:
Coherence and Statistical Optics

History
Original Manuscript: November 7, 2011
Manuscript Accepted: January 19, 2012
Published: April 20, 2012

Virtual Issues
Vol. 7, Iss. 7 Virtual Journal for Biomedical Optics

Citation
Xiao Xiao and Bahram Javidi, "3D photon counting integral imaging with unknown sensor positions," J. Opt. Soc. Am. A 29, 767-771 (2012)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-29-5-767


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