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Stereo Imaging with Uncalibrated Camera

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Advances in Visual Computing (ISVC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4291))

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Abstract

3D images provide more information to human than their 2D counterparts and have many applications in entertainment, scientific data visualization, etc. The ability to generate accurate 3D dynamic scene and 3D movie from uncalibrated cameras is a challenge. We propose a systematic approach to stereo image/video generation. With our proposed approach, a realistic 3D scene can be created via either a single uncalibrated moving camera or two synchronized cameras. 3D video can also be generated through multiple synchronized video streams. Our approach first uses a Gabor filter bank to extract image features. Second, we develop an improved Elastic Graph Matching method to perform reliable image registration from multi-view images or video frames. Third, a fast and efficient image rectification method based on multi-view geometry is presented to create stereo image pairs. Extensive tests using real images collected from widely separated cameras were performed to test our proposed approach.

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Author information

Authors and Affiliations

  1. Signal/Image Processing, Intelligent Automation Inc., MD, 20855, USA

    Xiaokun Li & Chiman Kwan

  2. Computer Science and Eng. Dept., Arizona State University, AZ, 85287, USA

    Baoxin Li

Authors
  1. Xiaokun Li
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  2. Chiman Kwan
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  3. Baoxin Li
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

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

    Richard Boyle

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

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Intel, 95052, Santa Clara, CA, USA

    Ara Nefian

  7. University of California, 430, Computer Science Building, 92697-3425, Irvine, CA, USA

    Gopi Meenakshisundaram

  8. Institute for Data Analysis and Visualization, P.O. Box

    Valerio Pascucci

  9. Department of Computer Science and Engineering, Czech Technical University in Prague, Czech

    Jiri Zara

  10. Rockwell Scientific, 1049 Camino Dos Rios, 91360, Thousand Oaks, CA, USA

    Jose Molineros

  11. Computer Graphics Group, Bielefeld University, D-33501, Bielefeld, Germany

    Holger Theisel

  12. Hewlett Packard Labs, Palo Alto, CA, USA

    Tom Malzbender

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© 2006 Springer-Verlag Berlin Heidelberg

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Li, X., Kwan, C., Li, B. (2006). Stereo Imaging with Uncalibrated Camera. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919476_12

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  • DOI: https://doi.org/10.1007/11919476_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48628-2

  • Online ISBN: 978-3-540-48631-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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