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Proceedings Paper

Robust three-dimensional vision system by adaptive stereo matching and optical BPEJTC
Author(s): Jung-Hwan Ko; Jae-Soo Lee; Eun-Soo Kim
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Paper Abstract

The essential problem in stereo vision system is to search for correspondence points between two different object images projected from the left and right cameras to detect the stereo disparity. So far, several methods were proposed to handle this correspondence problem, but most of them are complicated, need a long calculation time and show the low accuracy of the estimation value because of fixed windowing, etc. The proposed algorithm, firstly, extracted the target object by removing the background noises through the difference image information of the sequential left images and then, controlled the pan/tilt and convergence angle of the stereo camera by using the coordinates of the target position obtained from the optical BPEJTC which was executed between the extracted target image and the input image. Also, we propose a novel 3D vision system to detect and segment the moving object adaptively through controlling the pan/tilt system of stereo cameras by using optical BPEJTC (Binary Phase Extraction joint transform correlator).

Paper Details

Date Published: 26 December 2001
PDF: 7 pages
Proc. SPIE 4435, Wave Optics and VLSI Photonic Devices for Information Processing, (26 December 2001); doi: 10.1117/12.451159
Show Author Affiliations
Jung-Hwan Ko, Kwangwoon Univ. (South Korea)
Jae-Soo Lee, Kimpo College (South Korea)
Eun-Soo Kim, Kwangwoon Univ. (South Korea)

Published in SPIE Proceedings Vol. 4435:
Wave Optics and VLSI Photonic Devices for Information Processing
Pierre Ambs; Fred Richard Beyette Jr.; Fred Richard Beyette Jr., Editor(s)

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