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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2021 - 2

Structural Wall Facade Reconstruction of Scanned Scene in Point Clouds

NING, X. See more information about NING, X. on SCOPUS See more information about NING, X. on IEEExplore See more information about NING, X. on Web of Science, WANG, M. See more information about  WANG, M. on SCOPUS See more information about  WANG, M. on SCOPUS See more information about WANG, M. on Web of Science, TANG, J. See more information about  TANG, J. on SCOPUS See more information about  TANG, J. on SCOPUS See more information about TANG, J. on Web of Science, ZHANG, H. See more information about  ZHANG, H. on SCOPUS See more information about  ZHANG, H. on SCOPUS See more information about ZHANG, H. on Web of Science, WANG, Y. See more information about WANG, Y. on SCOPUS See more information about WANG, Y. on SCOPUS See more information about WANG, Y. on Web of Science
 
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Download PDF pdficon (2,139 KB) | Citation | Downloads: 766 | Views: 1,390

Author keywords
computer graphics, computer aided analysis, feature extraction, object segmentation, pattern recognition

References keywords
reconstruction(15), point(15), indoor(15), clouds(11), sensing(7), remote(6), chen(6), building(6), automatic(6), vision(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-11-30
Volume 21, Issue 4, Year 2021, On page(s): 11 - 20
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.04002
Web of Science Accession Number: 000725107100002
SCOPUS ID: 85122232009

Abstract
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Representation of wall facade in 3D scene is important for scene understanding and reconstruction. Doors and windows are essential elements of wall facade, which enrich the models of indoor buildings. In order to reconstruct the wall facade with detailed wall opening (doors and windows) information from point cloud, an improved automatic reconstruction approach is proposed in this paper. Specifically, we first detect the occlusion area on the wall by ray-tracing method. Then, the interested wall facade is segmented from scenes, and the contour and feature lines of the wall surface are extracted through the analysis of spatial occupancy. Third, the wall point cloud is transformed into a 2D cell complex. The wall surface is finally reconstructed through the wall opening identification based on graph cut. Experimental results demonstrate that our method has better performance in detail description, feature line extraction and opening area detection of the scene point cloud than existing state-of-the-art methods.


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 4,390 TCR
SCOPUS® Citations for all references: 3,159 TCR

Web of Science® Average Citations per reference: 125 ACR
SCOPUS® Average Citations per reference: 90 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-05-16 02:44 in 229 seconds.




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