skip to main content
10.1145/1878083.1878100acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
research-article

3D reconstruction of indoor and outdoor building scenes from a single image

Published:29 October 2010Publication History

ABSTRACT

In this paper, a novel method is proposed able to automatically generate accurate 3D models of both outdoor buildings and indoor scenes with perspective cues from line segments that are automatically extracted from a single image with an uncalibrated camera. The proposed method uses geometric constraints and knowledge of photography and achieves an accurate, real-time and fully automated 3D reconstruction of the scene without any intervention from the user.

References

  1. J. M. Coughlan and A. L. Yuille. Manhattan world: Compass direction from a single image by Bayesian inference. In ICCV '99: Proceedings of the International Conference on Computer Vision- Volume 2, page 941, Washington, DC, USA, 1999. IEEE Computer Society. DOI= http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.5078 . Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Criminisi, I. Reid, and A. Zisserman. Single view metrology. Int. J. Computer Vision, 40(2):123--148, 2000. DOI= http://portal.acm.org/citation.cfm?id=365888 . Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. A. Criminisi, I. Reid, and A. Zisserman. A plane measuring device. Image and Vision Computing, 17(8):625--634, 1999.Google ScholarGoogle ScholarCross RefCross Ref
  4. E. Delage, H. Lee, and A. Y. Ng. A dynamic Bayesian network model for autonomous 3d reconstruction from a single indoor image. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, 2:2418--2428, 2006. DOI= http://www.stanford.edu/~hllee/cvpr06_3dReconIndoorScene.pdf Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Google Sketch Up. http://sketchup.google.com/Google ScholarGoogle Scholar
  6. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. D. Hoiem, A. Efors, and M. Hebert. Geometric context from a single image. In Proceedings of IEEE Conference Computer Vision and Pattern Recognition, 2005. DOI = http://www.cs.uiuc.edu/homes/dhoiem/publications/Hoiem_Geometric.pdfGoogle ScholarGoogle ScholarDigital LibraryDigital Library
  8. J. Huang and B. Cowan. Simple 3D Reconstruction of Single Indoor Image with Perspective Cues. crv, pp.140--147, 2009 Canadian Conference on Computer and Robot Vision. DOI= http://www.computer.org/portal/web/csdl/doi/10.1109/CRV.2009.33 Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. D. C. Lee, M. Hebert and T. Kanade. Geometric Reasoning for Single Image Structure Recovery. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2009. DOI= www.cs.cmu.edu/~dclee/pub/cvpr09lee.pdfGoogle ScholarGoogle Scholar
  10. D. Liebowitz, Antonio Criminisi, and Andrew Zisserman. 1999. Creating Architectural Models from Images. In Proc. EuroGraphics, vol.18, 1999. DOI= http://www.robots.ox.ac.uk/~vgg/publications/papers/liebowitz99.pdf .Google ScholarGoogle ScholarCross RefCross Ref
  11. D. Liebowitz, Camera Calibration and Reconstruction of Geometry from Images. Merton College Robotics Research Group Department of Engineering Science University of Oxford Trinity Term 2001. DOI= http://www.robots.ox.ac.uk/~vgg/publications/papers/liebowitz01.pdfGoogle ScholarGoogle Scholar
  12. C. Rother. A new approach for vanishing point detection in architectural environments. In BMVC, pages 382--391, 2000. DOI= www.bmva.org/bmvc/2000/papers/p39.pdfGoogle ScholarGoogle Scholar
  13. A. Saxena, S. H. Chung, and A. Y. Ng. Learning depth from single monocular images. In Neural Information Processing Systems (NIPS), 2005. DOI = http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.8799Google ScholarGoogle Scholar

Index Terms

  1. 3D reconstruction of indoor and outdoor building scenes from a single image

        Recommendations

        Comments

        Login options

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

        Sign in
        • Published in

          cover image ACM Conferences
          SMVC '10: Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning
          October 2010
          76 pages
          ISBN:9781450301756
          DOI:10.1145/1878083

          Copyright © 2010 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]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 29 October 2010

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Upcoming Conference

          MM '24
          MM '24: The 32nd ACM International Conference on Multimedia
          October 28 - November 1, 2024
          Melbourne , VIC , Australia

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader