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Computer Optics, 2018, Volume 42, Issue 5, Pages 898–903
DOI: https://doi.org/10.18287/2412-6179-2018-42-5-898-903
(Mi co574)
 

This article is cited in 26 scientific papers (total in 26 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Fusion of information from multiple Kinect sensors for 3D object reconstruction

A. N. Ruchayab, K. A. Dorofeevb, V. I. Kolpakova

a Federal Research Centre of Biological Systems and Agro-technologies of the Russian Academy of Sciences, Orenburg, Russia
b Department of Mathematics, Chelyabinsk State University, Chelyabinsk, Russia
References:
Abstract: In this paper, we estimate the accuracy of 3D object reconstruction using multiple Kinect sensors. First, we discuss the calibration of multiple Kinect sensors, and provide an analysis of the accuracy and resolution of the depth data. Next, the precision of coordinate mapping between sensors data for registration of depth and color images is evaluated. We test a proposed system for 3D object reconstruction with four Kinect V2 sensors and present reconstruction accuracy results. Experiments and computer simulation are carried out using Matlab and Kinect V2.
Keywords: multiple sensors, Kinect, 3D object reconstruction, fusion.
Funding agency Grant number
Russian Science Foundation 17-76-20045
The Russian Science Foundation (project #17-76-20045) financially supported the work.

Accepted: 21.09.2018
Document Type: Article
Language: English
Citation: A. N. Ruchay, K. A. Dorofeev, V. I. Kolpakov, “Fusion of information from multiple Kinect sensors for 3D object reconstruction”, Computer Optics, 42:5 (2018), 898–903
Citation in format AMSBIB
\Bibitem{RucDorKol18}
\by A.~N.~Ruchay, K.~A.~Dorofeev, V.~I.~Kolpakov
\paper Fusion of information from multiple Kinect sensors for 3D object reconstruction
\jour Computer Optics
\yr 2018
\vol 42
\issue 5
\pages 898--903
\mathnet{http://mi.mathnet.ru/co574}
\crossref{https://doi.org/10.18287/2412-6179-2018-42-5-898-903}
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  • https://www.mathnet.ru/eng/co574
  • https://www.mathnet.ru/eng/co/v42/i5/p898
  • This publication is cited in the following 26 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    References:26
     
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