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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 48, Iss. 34 — Dec. 1, 2009
  • pp: H95–H104

Computational integral-imaging reconstruction-based 3-D volumetric target object recognition by using a 3-D reference object

Seung-Cheol Kim, Seok-Chan Park, and Eun-Soo Kim  »View Author Affiliations


Applied Optics, Vol. 48, Issue 34, pp. H95-H104 (2009)
http://dx.doi.org/10.1364/AO.48.000H95


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Abstract

In this paper, we propose a novel computational integral-imaging reconstruction (CIIR)-based three- dimensional (3-D) image correlator system for the recognition of 3-D volumetric objects by employing a 3-D reference object. That is, a number of plane object images (POIs) computationally reconstructed from the 3-D reference object are used for the 3-D volumetric target recognition. In other words, simultaneous 3-D image correlations between two sets of target and reference POIs, which are depth- dependently reconstructed by using the CIIR method, are performed for effective recognition of 3-D volumetric objects in the proposed system. Successful experiments with this CIIR-based 3-D image correlator confirmed the feasibility of the proposed method.

© 2009 Optical Society of America

OCIS Codes
(100.6890) Image processing : Three-dimensional image processing
(110.6880) Imaging systems : Three-dimensional image acquisition
(100.3008) Image processing : Image recognition, algorithms and filters

History
Original Manuscript: July 2, 2009
Revised Manuscript: September 17, 2009
Manuscript Accepted: September 18, 2009
Published: October 9, 2009

Virtual Issues
Digital Holography and 3-D Imaging: Interactive Science Publishing (2009) Applied Optics

Citation
Seung-Cheol Kim, Seok-Chan Park, and Eun-Soo Kim, "Computational integral-imaging reconstruction-based 3-D volumetric target object recognition by using a 3-D reference object," Appl. Opt. 48, H95-H104 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-34-H95


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