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Computer Optics, 2019, Volume 43, Issue 6, Pages 1001–1007
DOI: https://doi.org/10.18287/2412-6179-2019-43-6-1001-1007
(Mi co725)
 

This article is cited in 18 scientific papers (total in 18 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

A novel switching bilateral filtering algorithm for depth map

A. N. Ruchayab, K. A. Dorofeevb, V. Kalschikovb

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 propose a novel switching bilateral filter for depth map from a RGB-D sensor. The switching method works as follows: the bilateral filter is applied not at all pixels of the depth map, but only in those where noise and holes are possible, that is, at the boundaries and sharp changes. With the help of computer simulation we show that the proposed algorithm can effectively and fast process a depth map. The presented results show an improvement in the accuracy of 3D object reconstruction using the proposed depth filtering. The performance of the proposed algorithm is compared in terms of the accuracy of 3D object reconstruction and speed with that of common successful depth filtering algorithms.
Keywords: depth map, switching filtering, 3D reconstruction.
Funding agency Grant number
Russian Science Foundation 17-76-20045
The Russian Science Foundation (project #17-76-20045) financially supported the work.
Received: 04.06.2019
Accepted: 09.09.2019
Document Type: Article
Language: English
Citation: A. N. Ruchay, K. A. Dorofeev, V. Kalschikov, “A novel switching bilateral filtering algorithm for depth map”, Computer Optics, 43:6 (2019), 1001–1007
Citation in format AMSBIB
\Bibitem{RucDorKal19}
\by A.~N.~Ruchay, K.~A.~Dorofeev, V.~Kalschikov
\paper A novel switching bilateral filtering algorithm for depth map
\jour Computer Optics
\yr 2019
\vol 43
\issue 6
\pages 1001--1007
\mathnet{http://mi.mathnet.ru/co725}
\crossref{https://doi.org/10.18287/2412-6179-2019-43-6-1001-1007}
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  • https://www.mathnet.ru/eng/co725
  • https://www.mathnet.ru/eng/co/v43/i6/p1001
  • This publication is cited in the following 18 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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