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Applied Optics

Applied Optics

  • 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

Applied Optics, Vol. 48, Issue 34, pp. H95-H104        doi:10.1364/AO.48.000H95

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  • 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

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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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

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

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Author Affiliations

Seung-Cheol Kim, Seok-Chan Park, Eun-Soo Kim

Kwangwoon University

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