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Journal of the Optical Society of Korea

Journal of the Optical Society of Korea

| PUBLISHED BY THE OPTICAL SOCIETY OF KOREA

  • Vol. 15, Iss. 3 — Sep. 1, 2011
  • pp: 264–271

3D Holographic Image Recognition by Using Graphic Processing Unit

Jeong-A Lee, In-Kyu Moon, Hailing Liu, and Faliu Yi  »View Author Affiliations


Journal of the Optical Society of Korea, Vol. 15, Issue 3, pp. 264-271 (2011)


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Abstract

In this paper we examine and compare the computational speeds of three-dimensional (3D) object recognition by use of digital holography based on central unit processing (CPU) and graphic processing unit (GPU) computing. The holographic fringe pattern of a 3D object is obtained using an in-line interferometry setup. The Fourier matched filters are applied to the complex image reconstructed from the holographic fringe pattern using a GPU chip for real-time 3D object recognition. It is shown that the computational speed of the 3D object recognition using GPU computing is significantly faster than that of the CPU computing. To the best of our knowledge, this is the first report on comparisons of the calculation time of the 3D object recognition based on the digital holography with CPU vs GPU computing.

© 2011 Optical Society of Korea

OCIS Codes
(100.6890) Image processing : Three-dimensional image processing
(200.4960) Optics in computing : Parallel processing
(090.1995) Holography : Digital holography
(090.5694) Holography : Real-time holography

History
Original Manuscript: March 30, 2011
Revised Manuscript: July 28, 2011
Manuscript Accepted: September 5, 2011
Published: September 25, 2011

Citation
Jeong-A Lee, In-Kyu Moon, Hailing Liu, and Faliu Yi, "3D Holographic Image Recognition by Using Graphic Processing Unit," J. Opt. Soc. Korea 15, 264-271 (2011)
http://www.opticsinfobase.org/josk/abstract.cfm?URI=josk-15-3-264


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