Automated reconstruction of building facades for virtual walk-thrus

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Automated reconstruction of building facades for virtual walk-thrus

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International Conference on Computer Graphics and Interactive Techniques archive
ACM SIGGRAPH 2003 Sketches & Applications table of contents

San Diego, California

SESSION: GPU/image-based modeling & rendering table of contents

Pages: 1 - 1

Year of Publication: 2003

Authors

Christian Frueh	University of California, Berkeley
Avideh Zakhor	University of California, Berkeley

Sponsor

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 27, Citation Count: 0

Additional Information:

abstract references collaborative colleagues peer to peer

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ABSTRACT

In this paper, we present a fast, automated approach to generating a highly detailed, textured 3D building facade model. This model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal traffic conditions on public roads, and then processed offline. We evaluate our approach on a large data set acquired in downtown Berkeley.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	FRUEH, C., AND ZAKHOR, A. 2001(a). Fast 3D model generation in urban environments. In Multisensor Fusion and Integration for Intelligent Systems, Baden-Baden, Germany, p. 165--170
	2	FRUEH, C., AND ZAKHOR, A. 2001(b). 3D model generation of cities using aerial photographs and ground level laser scans. In Computer Vision and Pattern Recognition, Hawaii, USA, p. II-31-8, vol. 2.2
	3	FRUEH, C., AND ZAKHOR, A. 2002. Data Processing Algorithms for Generating Textured 3D Building Facade Meshes From Laser Scans and Camera Images. In 3D Processing, Visualization and Transmission 2002, Padua, Italy, p. 834--847

Collaborative Colleagues:

Christian Frueh: colleagues

Avideh Zakhor: colleagues

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