|3/2012 - 11|
Object Extraction from Architecture Scenes through 3D Local Scanned Data AnalysisNING, X. , WANG, Y.
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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)
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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 554] [SCOPUS Times Cited 781]
 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 6829] [SCOPUS Times Cited 9847]
 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 115] [SCOPUS Times Cited 146]
 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 1780] [SCOPUS Times Cited 2335]
 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 585]
 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 29] [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 52]
 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 1825] [SCOPUS Times Cited 2851]
 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 7] [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]
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