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Lightweight 3D modeling of urban bui...

Li, Weihong.

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Lightweight 3D modeling of urban buildings from range data .

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Lightweight 3D modeling of urban buildings from range data ./
Author:	Li, Weihong.
Description:	176 p.
Notes:	Source: Dissertation Abstracts International, Volume: 72-05, Section: B, page: .
Contained By:	Dissertation Abstracts International72-05B.
Subject:	Engineering, Computer. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3443949
ISBN:	9781124506012

Lightweight 3D modeling of urban buildings from range data .
Li, Weihong.

Lightweight 3D modeling of urban buildings from range data . - 176 p.

Source: Dissertation Abstracts International, Volume: 72-05, Section: B, page: .

Thesis (Ph.D.)--City University of New York, 2011.

Laser range scanners are widely used to acquire accurate scene measurements. The massive point clouds they generate, however, present challenges to efficient modeling and visualization. State-of-the-art techniques for generating 3D models from voluminous range data is well-known to demand large computational and storage requirements. In this thesis, attention is directed to the modeling of urban buildings directly from range data. We present an efficient modeling algorithm that exploits a priori knowledge that buildings can be modeled from cross-sectional contours using extrusion and tapering operations. Inspired by this simple workflow, we identify key cross-sectional slices among the point cloud. These slices capture changes across the building facade along the principal axes. Standard image processing algorithms are used to remove noise, fill holes, and vectorize the projected points into planar contours. Applying extrusion and tapering operations to these contours permits us to achieve dramatic geometry compression, making the resulting models suitable for web-based applications such as Google Earth or Microsoft Virtual Earth. This work has applications in architecture, urban design, virtual city touring, and online gaming. We present experimental results on the exterior and interior of urban building datasets to validate the proposed algorithm.

ISBN: 9781124506012Subjects--Topical Terms:

1669061
Engineering, Computer.

Lightweight 3D modeling of urban buildings from range data .
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035 $a (UMI)AAI3443949
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100 1 $a Li, Weihong. $3 1681691
245 1 0 $a Lightweight 3D modeling of urban buildings from range data .
300 $a 176 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-05, Section: B, page: .
500 $a Adviser: George Wolberg.
502 $a Thesis (Ph.D.)--City University of New York, 2011.
520 $a Laser range scanners are widely used to acquire accurate scene measurements. The massive point clouds they generate, however, present challenges to efficient modeling and visualization. State-of-the-art techniques for generating 3D models from voluminous range data is well-known to demand large computational and storage requirements. In this thesis, attention is directed to the modeling of urban buildings directly from range data. We present an efficient modeling algorithm that exploits a priori knowledge that buildings can be modeled from cross-sectional contours using extrusion and tapering operations. Inspired by this simple workflow, we identify key cross-sectional slices among the point cloud. These slices capture changes across the building facade along the principal axes. Standard image processing algorithms are used to remove noise, fill holes, and vectorize the projected points into planar contours. Applying extrusion and tapering operations to these contours permits us to achieve dramatic geometry compression, making the resulting models suitable for web-based applications such as Google Earth or Microsoft Virtual Earth. This work has applications in architecture, urban design, virtual city touring, and online gaming. We present experimental results on the exterior and interior of urban building datasets to validate the proposed algorithm.
590 $a School code: 0046.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Computer Science. $3 626642
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690 $a 0984
710 2 $a City University of New York. $b Computer Science. $3 1029886
773 0 $t Dissertation Abstracts International $g 72-05B.
790 1 0 $a Wolberg, George, $e advisor
790 1 0 $a Zhu, Zhigang $e committee member
790 1 0 $a Stamos, Ioannis $e committee member
790 1 0 $a Reed, Michael $e committee member
790 $a 0046
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3443949