Paper
18 October 1999 Color motion stereo based on adaptive correlation matching
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Abstract
A new algorithm to compute a precise 3-D shape of a moving object for color motion stereo is described. Input data is obtained from a single color CCD camera and a moving belt. Three-dimensional shape recovery in motion stereo is formulated as a matching optimization problem of multiple color stereo images. It is shown that the problem of matching among multiple color motion stereo images can be carried out with use circular decorrelation of a color signal. Three- dimensional shape recovery using real color motion stereo images demonstrates a good performance of the algorithm in terms of reconstruction accuracy.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mikhail G. Mozerov, Vitaly Kober, and Tae-Sun Choi "Color motion stereo based on adaptive correlation matching", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365882
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Computer programming

3D image processing

Cameras

3D image reconstruction

Matrices

CCD cameras

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