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International Symposium on Visual Computing

ISVC 2011: Advances in Visual Computing pp 484–495Cite as

A New 3D Imaging System Using a Portable Two-Camera Omni-Imaging Device for Construction and Browsing of Human-Reachable Environments

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6938))

Abstract

As an improvement on existing street view systems which cannot be moved to certain environments to acquire images, a new 3D imaging system using a portable two-camera omni-imaging device is proposed. The device can be carried on one’s back and moved on foot to any indoor and outdoor scene spot to acquire omni-images which cover the entire spherical view of the scene with an overlapping image band. By a space-mapping technique, the two omni-images are transformed into panoramic images, and the overlapping band is utilized to stitch them to form a single total panoramic image using a dynamic programming technique. Browsing of an environment with a series of scene spots can be conducted to see the perspective-view image of any spot in any direction by changing the viewpoint via the uses of four tools ( the current perspective-view image, the total panoramic image, a walking path, and a three-view diagram. Experimental results show the feasibility of the system.

This work was supported financially by the NSC project No. 98-2221-E-009-116-MY3.

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Engineering, National Chiao Tung University, Taiwan

    Yu-Tung Kuo & Wen-Hsiang Tsai

  2. Department of Information Communication, Asia University, Taiwan

    Wen-Hsiang Tsai

Authors
  1. Yu-Tung Kuo
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  2. Wen-Hsiang Tsai
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Editor information

Editors and Affiliations

  1. University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science and Engineering, University of South Carolina, 29208, Columbia, SC, USA

    Song Wang

  6. HRL Laboratories, 3011 Malibu Canyon Road, 90265-4797, Malibu, CA, USA

    Kim Kyungnam

  7. Purdue University, 47907-2021, West Lafayette, IN, USA

    Bedrich Benes

  8. Sandia National Laboratory, 87185, Albuquerque, NM, USA

    Kenneth Moreland

  9. University of Louisiana, 70504, Lafayette, LA, USA

    Christoph Borst

  10. Adobe Systems Incorporated, San Francisco, CA, USA

    Stephen DiVerdi

  11. Polytechnic Institute of NYU, 11201, Brooklyn, NY, USA

    Chiang Yi-Jen

  12. Lawrence Livermore National Laboratory, 94551-0808, Livermore, CA, USA

    Jiang Ming

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kuo, YT., Tsai, WH. (2011). A New 3D Imaging System Using a Portable Two-Camera Omni-Imaging Device for Construction and Browsing of Human-Reachable Environments. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24028-7_45

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  • DOI: https://doi.org/10.1007/978-3-642-24028-7_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24027-0

  • Online ISBN: 978-3-642-24028-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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