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Proceedings Paper

Pattern recognition correlator based on digital photo camera
Author(s): Sergey N. Starikov; Nikita N. Balan; Vladislav G. Rodin; Ivan V. Solyakin; Ekaterina A. Shapkarina
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Paper Abstract

Diffraction image correlator based on commercial digital SLR photo camera is described. The correlator is proposed for recognition of external 2-D and 3-D scenes illuminated by quasimonochromatic spatially incoherent light. Principal optical scheme of the correlator is analogous to that of incoherent holographic correlator by Lohmann. The correlator hardware consists of digital camera with attached optical correlation filter unit and control computer. No modifications have been introduced in units of commercial digital SLR photo camera. Digital camera was connected via camera interface to computer for controlled camera shooting, transfer of detected correlation signals and post-processing. Two ways were used for correlation filter unit mounting. In the first case, correlation filter was attached to the front of the camera lens. In the second one, it was placed in a free space of the SLR camera body between the interchangeable camera lens and the swing mirror. Computer generated Fourier holograms and kinoforms were used as correlation filters in experiments. The experimental setup of the correlator and experimental results on images recognition are presented. The recognition of test objects of direct and reversed contrast with the same correlation filter was performed.

Paper Details

Date Published: 17 April 2006
PDF: 6 pages
Proc. SPIE 6245, Optical Pattern Recognition XVII, 62450C (17 April 2006); doi: 10.1117/12.663396
Show Author Affiliations
Sergey N. Starikov, Moscow Engineering Physics Institute (Russia)
Nikita N. Balan, Moscow Engineering Physics Institute (Russia)
Vladislav G. Rodin, Moscow Engineering Physics Institute (Russia)
Ivan V. Solyakin, Moscow Engineering Physics Institute (Russia)
Ekaterina A. Shapkarina, Moscow Engineering Physics Institute (Russia)


Published in SPIE Proceedings Vol. 6245:
Optical Pattern Recognition XVII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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