Paper
26 December 2001 Robust three-dimensional vision system by adaptive stereo matching and optical BPEJTC
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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).
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jung-Hwan Ko, Jae-Soo Lee, and Eun-Soo Kim "Robust three-dimensional vision system by adaptive stereo matching and optical BPEJTC", Proc. SPIE 4435, Wave Optics and VLSI Photonic Devices for Information Processing, (26 December 2001); https://doi.org/10.1117/12.451159
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KEYWORDS
Stereo vision systems

Image segmentation

Cameras

Imaging systems

Stereoscopic cameras

Detection and tracking algorithms

3D vision

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