research-article

Building modeling from a single image applied in urban reconstruction

Authors:

Ping GuoAuthors Info & Claims

VRCAI '11: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry

Pages 225 - 234

https://doi.org/10.1145/2087756.2087789

Published: 11 December 2011 Publication History

Abstract

Image-based building reconstruction is a hot topic in computer vision and computer graphics. However, few studies have been conducted on reconstruction from a single image because it is an ill-conditioned problem and is very difficult to resolve. In the current paper, we present an efficient method by matching contours between an image and the projection of three-dimensional (3D) models. Our method simplifies the reconstruction process and avoids camera calibrating and human interaction. Given a building photo captured in daily life as input, we first segment the photo into different regions and then automatically extract the contour of the building. Finally, we obtain the 3D building model by matching the contour of the building with the projection contour of the 3D models from different views stored in the model database. Experiments show that our method is efficient and effective, especially for building photos containing shelters.

References

[1]

Bretschi, Jurgen. Automated Inspection System for Industry. {M}. FS Publications Ltd, 1981.

[2]

Byong Mok Oh, Max Chen, Julie Dorsey, Fredo Durand. Image-based Modeling and Photo Editing. ACM Trans. Graph (SIGGRAPH'01), 2001, vol.22, pp.433--442.

Digital Library

[3]

C. Harris, M. Steven. A Combined Corner and Edge Detector. {C}. Proc. of 4th Alvey Vision, 1998, pp.189--192.

[4]

Christopher M. Cyr, Benjamin B. Kimia. Citations. 3D Object Recognition Using Shape Similarity-based Aspect Graph. {C}. Proceedings of IEEE International Conference on Computer Vision. Vancouver: IEEE, 2001:254--261.

[5]

Comaniciu D, Meer P. Mean Shift a Robust Approach Tow and Fearture Space Analysis.{J}. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2002, vol.24, pp.1--18.

Digital Library

[6]

David Liebowitz, Antonio Crimimisi and Andrew Zisserman, Creating Architectural Models from Images, EUROGRAPHICS'1999, vol. 18, no.3, pp.1--13.

[7]

Derel K Hoiem, Alexei A. Efros, Martial Hebert. Automatic Photo Pop-up. ACM Trans. Graph (SIGGRAPH'05), 2005, vol.12, no.4, pp.577--584.

Digital Library

[8]

D. V. Vranic, D. Saupe, J. Richter. Tools For 3D Object Retrieval: Karhunen-Loeve Transform and Spherical Harmonics. In Proceedings of IEEE 2001 Workshop Mutimedia Signal Processings, 2001, pp.293--298.

[9]

Haitao Xu, Caixia Gao, Linear Fitting Method. ISSN 1009-3044 Computer Knowledge and Technology, Vol.5, No.4, February 2009, pp.864--867.

[10]

Heczko M, Keim D, Saupe D, et al. A Method for Similarity Search of 3D Objects. {C}. Proceedings of German Database Conference (BTW). Oldenburg:{s.n.}, 2001:384--401.

Digital Library

[11]

Http://shape.cs.princeton.edu/search.html.

[12]

J. Cooper, Svetha, L. Kitechen. Early Jump-out Corner Detectors{J}. Pattern Analysis and Machine Intelligence, IEEE Transactions, 1993, 15:823--828.

Digital Library

[13]

Jianxiong Xiao, Tian Fang, Peng Zhao, Maxime Lhuilier, Long Quan, Image-based Street-side City Modeling. ACM Transactions on Graphics, 2009, Vol.28, No.5, Article 114, pp.1--9.

Digital Library

[14]

Jianxiong Xiao, Tian Fang, Ping Tan, Peng Zhao, Eyal Ofedk, Long Quan, Image-based Facade Modeling. ACM Transactions on Graphic, 2008, vol.27, No.5, Article 161, pp.1--8.

Digital Library

[15]

K. Kentaro, H. Kiminori, O. Yammashit, S. Yochi, S. Kat. Object Recognition Using Local EGI and 3D Models with M-Estimates. IEEE International Conference on Robotics and Automation, Washington, Unite state, 2000, 1848--1855.

[16]

Milan Sonka, Vaclav Hlavac, Roger Boyle. Image Processing Analysis and Machine Vision. {M}. 2003, pp.83--127.

Digital Library

[17]

Min P, Halderman A, Kazhdan M, et al. Early Experiences with a 3D Model Search Engine. {C}. Proceedings of the Eighth International Conference on 3D Web Technology, New York:ACM, 2003:7--18.

Digital Library

[18]

Nianjuan Jiang, Ping Tan, Loong-Fah Cheong, Symmetric Architecture Modeling with a Single Image. ACM Transactions on Graphics, 2009, vol.28, No.35, Article 113, pp.1--8.

Digital Library

[19]

Pascal Muller, Gang Zeng, Peter Wonka, Luc Van Gool, Image-based Procedual Modeling of Facades. ACM Transactions on Graphics, 2007, vol.26, No.3, Article 85, pp.1--9.

Digital Library

[20]

Yujin Zhang, Image Segmentation. Science Press. 2001.

Cited By

Kim HHan S(2018)Interactive 3D building modeling method using panoramic image sequences and digital mapMultimedia Tools and Applications10.1007/s11042-018-5926-477:20(27387-27404)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s11042-018-5926-4
Kim HHan S(2017)Geo-registration of wide-baseline panoramic image sequences using a digital map referenceMultimedia Tools and Applications10.1007/s11042-016-3298-176:9(11215-11233)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11042-016-3298-1
Kim HHan S(2014)A framework for the automatic 3D city modeling using the panoramic image from mobile mapping system and digital maps2014 IEEE Virtual Reality (VR)10.1109/VR.2014.6802087(133-134)Online publication date: Mar-2014
https://doi.org/10.1109/VR.2014.6802087
Show More Cited By

Index Terms

Building modeling from a single image applied in urban reconstruction
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

Recommendations

Contours-Matching in Building Reconstruction from a Single Image
CIS '11: Proceedings of the 2011 Seventh International Conference on Computational Intelligence and Security

Image-based building reconstruction is a hot point in computer vision and computer graphics, but few works have done on reconstruction from a single image because it is an ill-conditional problem and is very difficult to resolve. In this paper, we ...
Contour Based High Resolution 3D Mesh Construction Using HRCT and MRI Stacks

In this paper, we consider the problem of extracting shape contours from High Resolution Computed Tomography HRCT and Magnetic Resonance Imaging MRI stacks and using them to construct a three-dimensional mesh surface of the underlying geometry to a high ...
Improved image segmentation method based on morphological reconstruction

Image segmentation is a key step in linking up of image processing and image analysis and a big problem in computer vision. Morphological reconstruction is an important method of image edge segmentation. Watershed transformation is a widely used image ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

VRCAI '11: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry

December 2011

617 pages

ISBN:9781450310604

DOI:10.1145/2087756

General Chairs:
Zhi-Qiang Liu
City University of Hong Kong, China
,
Joaquim Jorge
Technical University of Lisbon, Portugal
,
Zhigeng Pan
China Society of Image and Graphics and Hangzhou Normal University, China
,
Program Chairs:
Xiaopeng Zhang
Institute of Automation, CAS, China
,
Oscar Kin-Chung Au
City University of Hong Kong
,
Weiming Dong
Institute of Automation, CAS, China

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
VT Committee of the China Society of Image and Graphics

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 December 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

National Natural Science Foundation of China

Conference

VRCAI '11

Sponsor:

SIGGRAPH

VRCAI '11: The 10th International Conference on Virtual Reality Continuum and Its Applications in Industry

December 11 - 12, 2011

Hong Kong, China

Acceptance Rates

Overall Acceptance Rate 51 of 107 submissions, 48%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
239
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 15 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Kim HHan S(2018)Interactive 3D building modeling method using panoramic image sequences and digital mapMultimedia Tools and Applications10.1007/s11042-018-5926-477:20(27387-27404)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s11042-018-5926-4
Kim HHan S(2017)Geo-registration of wide-baseline panoramic image sequences using a digital map referenceMultimedia Tools and Applications10.1007/s11042-016-3298-176:9(11215-11233)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11042-016-3298-1
Kim HHan S(2014)A framework for the automatic 3D city modeling using the panoramic image from mobile mapping system and digital maps2014 IEEE Virtual Reality (VR)10.1109/VR.2014.6802087(133-134)Online publication date: Mar-2014
https://doi.org/10.1109/VR.2014.6802087
Kim HHan S(2013)Street-side city modeling from ground-level imagery and a digital mapACM SIGGRAPH 2013 Posters10.1145/2503385.2503480(1-1)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.1145/2503385.2503480

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents