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Proceedings Paper

Enhanced multiprobing recovering algorithm based on color mixed nonlinear modulation and its application in a 3D vision system
Author(s): Zhanping Xu; Horst-Guenther Heinol; Rudolf Schwarte; Otmar Loffeld
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Paper Abstract

The paper introduces a fast and enhanced recovering algorithm and its application in an active 3D-color vision system. The algorithm is based on the processing of several non-linearly modulated optical test signals of different colors. The processing approach arises from minimizing errors caused by using non-linear modulators in an active vision system, i.e., recovering 3D properties from higher order terms of a Fourier series expansion of the non- linear modulation. Two aspects are worth mentioning: Firstly, the modulation depth of non- linear optical components such as Pockels cells can be exploited much beyond the linear region if assisted by the appropriate recovering algorithm and thus increasing the effective aperture of the optical system. Secondly, the same algorithm can be adaptive to a synthetic non-linear modulation, i.e., the various incoherent signals used as color probes are synchronously modulated each with different characterizing rf signals by means of corresponding optical modulators. These signals are then further incoherently superposed in the transmission medium. After having been reflected from and interacted with the object of interest, the selectively attenuated signals are demodulated using a single modulator. In this process phase, color and other information are simultaneously demodulated. Therefore a single black-white CCD camera may be utilized to sample the 2D-rf interferograms, which are fast and analytically processed by the proposed algorithm in order to extract 3D ranges, colors, and other properties of the interesting object.

Paper Details

Date Published: 3 October 1995
PDF: 8 pages
Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); doi: 10.1117/12.222672
Show Author Affiliations
Zhanping Xu, Univ. Siegen (Germany)
Horst-Guenther Heinol, Univ. Siegen (Germany)
Rudolf Schwarte, Univ. Siegen (Germany)
Otmar Loffeld, Univ. Siegen (Germany)


Published in SPIE Proceedings Vol. 2588:
Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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