Computational integral-imaging reconstruction-based 3-D volumetric target object recognition by using a 3-D reference object
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
- Virtual Issues
- Digital Holography and 3-D Imaging: Interactive Science Publishing (2009) Applied Optics
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
Kwangwoon University
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