|3/2012 - 11|
Object Extraction from Architecture Scenes through 3D Local Scanned Data AnalysisNING, X. , WANG, Y.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (858 KB) | Citation | Downloads: 367 | Views: 2,190|
terrestrial laser scanner, point cloud segmentation, similarity measurement, nearest neighboring graph
segmentation(8), point(7), image(7), range(5), pattern(5), clouds(5), zhang(4), vision(4), transform(4), robust(4)
No common words between the references section and the paper title.
About this article
Date of Publication: 2012-08-31
Volume 12, Issue 3, Year 2012, On page(s): 73 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.03011
Web of Science Accession Number: 000308290500011
SCOPUS ID: 84865851513
Terrestrial laser scanning becomes a standard way for acquiring 3D data of complex outdoor objects. The processing of huge number of points and recognition of different objects inside become a new challenge, especially in the case where objects are included. In this paper, a new approach is proposed to classify objects through an analysis on shape information of the point cloud data. The scanned scene is constructed using k Nearest Neighboring (k-NN), and then similarity measurement between points is defined to cluster points with similar primitive shapes. Moreover, we introduce a combined geometrical criterion to refine the over-segmented results. To achieve more detail information, a residual based segmentation is adopted to refine the segmentation of architectural objects into more parts with different shape properties. Experimental results demonstrate that this approach can be used as a robust way to extract different objects in the scenes.
|References|||||Cited By «-- Click to see who has cited this paper|
| Roth, G., Levine, M. D., "Extracting geometric primitives," CVGIP: Image Underst. 58(1), pp.1-22 (1993). |
[CrossRef] [SCOPUS Times Cited 13]
 Phil Torr and Andrew Zisserman, "Robust computation and parameterization of multiple view relations," In ICCV'98: Proceedings of the Sixth International Conference on Computer Vision, Washington, DC, USA, 1998, pp.727.
[CrossRef] [Web of Science Times Cited 29]
 Torr, P. H.S ., Zisserman, A., "Mlesac: a new robust estimator with application to estimating image geometry," Comput. Vis. Image Underst. 78(1), pp. 138-156, 2000.
[CrossRef] [Web of Science Times Cited 566] [SCOPUS Times Cited 803]
 Liang Xinhe, Liang Jin, Xiao Zhenzhong, Liu Jianwei, and Guo Cheng, "Study on Multi-Views Point Clouds Registration," Adv. Sci. Lett, 2011, 4, pp.2885-2889.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]
 Fischler, M. A., Bolles, R. C., "Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography," Commun. ACM. 1981, 24, pp. 381-395
[CrossRef] [Web of Science Times Cited 7015] [SCOPUS Times Cited 10033]
 Nister, D. "Preemptive ransac for live structure and motion estimation," Mach. Vision Appl. 16(5), pp. 321-329, 2005.
[CrossRef] [Web of Science Times Cited 118] [SCOPUS Times Cited 148]
 Ruwen Schnabel, Roland Wahl, and Reinhard Klein. "Shape detection in point clouds," Technical Report CG-2006-2, Universitat Bonn, January 2006.
 Liangliang Nan, Andrei Sharf, Hao Zhang, DanielCohen-Or, and Baoquan Chen. "Smartboxes for interactive urban reconstruction," ACM Trans. Graph., 2010, 29, pp 93:1-93:10.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 67]
 Ballard, D. H. Generalizing the hough transform to detect arbitrary shapes. Pattern recognition. 1981, 13(2), pp. 111-122
[CrossRef] [Web of Science Times Cited 1812] [SCOPUS Times Cited 2372]
 George Vosselman, Er Dijkman. "3d building model reconstruction from point clouds and ground plans," International Archives of Photogrammetry and Remote Sensing, 2001, Volume XXXIV- 3/W4 (22-24), pp. 37-43.
 T. Rabbani and F. Van Den Heuvel. "Efficient hough transform for automatic detection of cylinders in point clouds," In ISPRS WG III/3, III/4, V/3 workshop. 2005, pp.60-65.
 Kourosh Khoshelham, "Extending generalized hough transform to detect 3d objects in laser range data," Transform, 2007, XXXV, pp. 206-210.
 P. J. Besl and R. C. Jain, "Segmentation through variable-order surface fitting," IEEE Transaction on Pattern Analysis and Machine Intelligence, 1988, 10(2), pp. 167-92.
[CrossRef] [Web of Science Times Cited 447] [SCOPUS Times Cited 589]
 I. S. Chang and R. H. Park, "Segmentation based on fusion of range and intensity images using robust trimmed methods," Pattern Reconition, 2001, 34, pp. 1951-1962.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 23]
 Klaus Koster and Michael Spann, "MIR: An approach to robust clustering application to range image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., 2000, 22(5), pp. 430-444.
[CrossRef] [Web of Science Times Cited 35] [SCOPUS Times Cited 52]
 Guoyu Wang, Zweitze Houkes, Guangrong Ji, Bing Zheng, and Xin Li, An estimation-based approach for range image segmentation: On the reliability of primitive extraction. Pattern Recognition, 2003, 36(1), pp.157-169,
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 13]
 Jie Chen and Baoquan Chen. "Architectural modeling from sparsely scanned range data," Int. J. Comput. Vision, 2008, 78(2-3), pp.223-236.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 41]
 Aleksey Golovinskiy and Thomas Funkhouser, "Min-cut based segmentation of point clouds," In IEEE Workshop on Search in 3D and Video (S3DV) at ICCV, 2009.
[CrossRef] [SCOPUS Times Cited 95]
 Pedro F. Felzenszwalb and Daniel P. Huttenlocher, "Efficient graph based image segmentation," International Journal of Computer Vision, 2004, 59(2), pp. 167-92.
[CrossRef] [Web of Science Times Cited 1888] [SCOPUS Times Cited 2919]
 ZhangLin. Cheng,XiaoPeng Zhang, "Estimating differential quantities from point cloud based on a linear fitting of normal vectors," Science in China Series F: Information Sciences, 2009, 52, pp. 431-444.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 8]
 Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Segmentation of architecture shape information from 3d point cloud. In The 8th ACM SIGGRAPH International Conference on VRCAI, 2009.12.
[CrossRef] [SCOPUS Times Cited 5]
 Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Tree segmentation from scanned scene data. In PMA, December 2009.
[CrossRef] [SCOPUS Times Cited 3]
Web of Science® Citations for all references: 11,999 TCR
SCOPUS® Citations for all references: 17,185 TCR
Web of Science® Average Citations per reference: 522 ACR
SCOPUS® Average Citations per reference: 747 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 2017-07-18 17:44 in 127 seconds.
Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.