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Proceedings Paper

Simulation of a 3D-color vision system based on synthetic nonlinear modulation
Author(s): Zhanping Xu; Rudolf Schwarte; Horst-Guenther Heinol; Robert Lange; Jiangming Li
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Paper Abstract

This paper focuses on simulating a model of 3D-color vision system based on synthetic nonlinear modulation. The model is set up to recover 3D and color properties from a colored object through evaluating several rf-interferograms sampled by a black-white CCD camera. Colorizing a black-white CCD camera in a 3D-vision system implies high resolution. The synthetic nonlinear modulation is different from other 3D- color vision systems. Different colored lights are synchronously modulated with characterizing rf-frequencies to detect a 3D object. Recovering colors is equally treated as recovering 3D information. Optical filters are not used. Instead, a suitable algorithm is adopted for recovering color and 3D information. Since a modulated optical rf- signal is used as a detecting probe rather than an un- modulated optical wave, higher orders of harmonic signals may be caused by electrical or optical components. Although linear matching techniques are adapted to prevent the problem, it is necessary to simulate the vision system for predicting its performances. An 8-bit black-white CCD camera with different signal to noise ratios is taken as an example in the simulation. 3D color properties are evaluated for the system in the case of nonlinearity and noise. An optimized result is obtained for realizing this vision system.

Paper Details

Date Published: 29 October 1996
PDF: 9 pages
Proc. SPIE 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling, (29 October 1996); doi: 10.1117/12.256293
Show Author Affiliations
Zhanping Xu, Univ. Siegen (Germany)
Rudolf Schwarte, Univ. Siegen (Germany)
Horst-Guenther Heinol, Univ. Siegen (Germany)
Robert Lange, Univ. Siegen (Germany)
Jiangming Li, Univ. Siegen (Germany)

Published in SPIE Proceedings Vol. 2904:
Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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