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Classification and Characterization of Image Acquisition for 3D Scene Visualization and Reconstruction Applications

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Multi-Image Analysis

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2032))

Abstract

This paper discusses the techniques of image acquisition for 3D scene visualization and reconstruction applications (3DSVR). The existing image acquisition approaches in 3DSVR applications are briefly reviewed. There are still lacks of studies about what principles are essential in the design and how we can characterize the limitations of an image acquisition model in a formal way. This paper addresses some of the main characteristics of existing image acquisition approaches, summarized through a classification scheme and illustrated with many examples. The results of the classification lead to general characterizations in establishing the notions (basic components) for design, analysis and assessment of image acquisition models. The notions introduced include: focal set, receptor set, reflector set etc. The formal definitions of the notions and the exploration of relationships among the components are given. Various examples are provided for demonstrating the flexibility and compactness in characterizing different types of image acquisition models such as concentric, polycentric, cataoptrical panoramas etc. The observations, important issues, and future directions from this study are also elaborated.

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References

  1. E.H. Adelson, J.R. Bergen: The plenoptic function and the elements of early vision. Computational Models of Visual Proceeding, Cambridge, Massachusetts, USA (March 1991) pp. 3–20.

    Google Scholar 

  2. S. Avidan, A. Shashua: Novel view synthesis in tensor space. Proc. CVPR97, San Juan, Puerto Rico (June 1997) pp. 1034–1040.

    Google Scholar 

  3. S. Baker, S.K. Nayar: A theory of single-viewpoint catadioptric image formation. IJCV 35(2) (November 1999) pp. 1–22.

    Article  Google Scholar 

  4. S. E. Chen: QuickTimeVR-an image-based approach to virtual environment navigation. Proc. SIGGRAPH’95, Los Angeles, California, USA (August 1995) pp. 29–38.

    Google Scholar 

  5. S.J. Gortler, R. Grzeszczuk, R. Szeliski, M.F. Cohen: The lumigraph. Proc. SIGGRAPH’96, New Orleans, Louisiana, USA (August 1996) pp. 43–54.

    Google Scholar 

  6. R. Gupta, R.I. Hartley: Linear pushbroom cameras. PAMI 19(9) (September 1997) pp. 963–975.

    Google Scholar 

  7. J. Gluckman, S.K. Nayar, K.J. Thorek: Real-time panoramic stereo. Proc. DARPA98, Monterey, California, USA (November 1998) pp. 299–303.

    Google Scholar 

  8. H.-C. Huang, Y.-P. Hung: Panoramic stereo imaging system with automatic disparity warping and seaming. GMIP 60(3) (May 1998) pp. 196–208.

    Google Scholar 

  9. S. Hiura, T. Matsuyama: Multi-focus camera with coded aperture: real-time depth measurement and its applications. Proc. CDV-WS98, Kyoto, Japan

    Google Scholar 

  10. F. Huang, T. Pajdla: Epipolar geometry in concentric panoramas. Research Report CTU-CMP-2000-07, Center for Machine Perception, Czech Technical University, Prague, Czech Republic March 2000.

    Google Scholar 

  11. F. Huang, S.-K. Wei, R. Klette: Generalized epipolar curve equation for a polycentric panorama pair. Proc. IVCNZ’00, Hamilton, New Zealand (November 2000) pp. 280–285.

    Google Scholar 

  12. H. Ishiguro, M. Yamamoto, S. Tsuji: Omni-directional stereo. PAMI 14(2) (February 1992) pp. 257–262.

    Google Scholar 

  13. S.-B. Kang, P.K. Desikan: Virtual navigation of complex scenes using clusters of cylindrical panoramic images. Technical Report CRL 97/5, Digital Equipment Corporation, Cambridge Research Lab, USA, September 1997.

    Google Scholar 

  14. S.-B. Kang, R. Szeliski: 3-d scene data recovery using omnidirectional multibaseline stereo. IJCV 25(2) (November 1997) pp. 167–183.

    Article  Google Scholar 

  15. K.N. Kutulakos, S. Seitz: A theory of shape by space carving. Proc. ICCV99, Corfu, Greece (September 1999) pp. 307–314.

    Google Scholar 

  16. R. Klette, K. Schluns, A. Koschan: Computer Vision Three-Dimensional Data from Images. Springer, Singapore (1998)

    MATH  Google Scholar 

  17. S. Laveau, O. Faugeras: 3-d scene representation as a collection of images. Proc. ICPR94, Seattle, Washington, USA (June 1994) pp. 689–691.

    Google Scholar 

  18. M. Levoy, P. Hanrahan: Light field rendering. Proc. SIGGRAPH’96, New Orleans, Louisiana, USA (August 1996) pp. 31–42.

    Google Scholar 

  19. L. McMillan, G. Bishop: Plenoptic modeling: an image-based rendering system. Proc. SIGGRAPH’95, Los Angeles, California, USA (August 1995) pp. 39–46.

    Google Scholar 

  20. W.R. Mark, L. McMillan, G. Bishop: Post-rendering 3d warping. Proceedings of 1997 Symposium on Interactive 3D Graphics, Providence, Rhode Island, USA (April 1997) pp. 7–16.

    Google Scholar 

  21. D.W. Murray: Recovering range using virtual multicamera stereo. CVIU 61(2) (March 1995) pp. 285–291.

    Google Scholar 

  22. T. Matsuyama, T. Wada: Cooperative distributed vision dynamic integration of visual perception, action, and communication. Proc. CDV-WS98, Kyoto, Japan (November 1998) pp. 1–40.

    Google Scholar 

  23. M. Ollis, H. Herman, S. Singh: Analysis and Design of Panoramic Stereo Vision Using Equi-Angular Pixel Cameras. Technical Report CMU-RI-TR-99-04, The Robotics Institute, Carnegie Mellon University, Pittsburgh, USA 1999

    Google Scholar 

  24. S. Peleg, M. Ben-Ezra: Stereo panorama with a single camera. Proc. CVPR99, Fort Collins, Colorado, USA (June 1999) pp. 395–401.

    Google Scholar 

  25. S. Peleg, Y. Pritch, M. Ben-Ezra: Cameras for stereo panoramic imaging. Proc. CVPR00, Hilton Head Island (June 2000) pp. 208–214.

    Google Scholar 

  26. P. Rademacher, G. Bishop: Multiple-center-of-projection images. Proc. SIGGRAPH’98, Los Angeles, California, USA (August 1998) pp. 199–206.

    Google Scholar 

  27. R. Reulke, M. Scheel: CCD-line digital imager for photogrammetry in architecture. Int. Archives of Photogrammetry and Remote Sensing XXXII(5C1B), (1997) pp. 195–201.

    Google Scholar 

  28. S. Seitz, C. Dyer: Photorealistic scene reconstruction by space coloring. Proc. CVPR97, San Juan, Puerto Rico, USA (June 1997) pp. 1067–1073.

    Google Scholar 

  29. R. Sandau, A. Eckardt: The stereo camera family WAOSS/WAAC for spaceborne/airborne applications. Int.Archives of Photogrammetry and Remote Sensing XXXI(B1), (1996) pp. 170–175.

    Google Scholar 

  30. J.W. Shade, S.J. Gortler, L.-W. He, R. Szeliski: Layered depth images. Proc. SIGGRAPH’98, Los Angeles, California, USA (August 1998) pp. 231–242.

    Google Scholar 

  31. H.-Y. Shum, L.-W. He: Rendering with concentric mosaics. Proc. SIGGRAPH’99, Los Angeles, California, USA (August 1999) pp. 299–306.

    Google Scholar 

  32. H. Shum, A. Kalai, S. Seitz: Omnivergent stereo. Proc. ICCV99, Korfu, Greece (September 1999) pp. 22–29.

    Google Scholar 

  33. H.-Y. Shum, R. Szeliski: Stereo reconstruction from multiperspective panoramas. Proc. ICCV99, Korfu, Greece (September 1999) pp. 14–21.

    Google Scholar 

  34. T. Svoboda: Central Panoramic Cameras Design, Geometry, Egomotion. PhD Thesis, Czech Technical University, Prague, Czech Republic (1999)

    Google Scholar 

  35. D.N. Wood, A. Finkelstein, J.F. Hughes, C.E. Thayer, D.H. Salesin: Multiperspective panoramas for CEL animation. Proc. SIGGRAPH’97, Los Angeles, California, USA (August 1997) pp. 243–250.

    Google Scholar 

  36. S.-K. Wei, F. Huang, R. Klette: Three dimensional view synthesis from multiple images. Technical Report, CITR-TR-42, Centre for Image Technology and Robotics, The University of Auckland, New Zealand March 1999.

    Google Scholar 

  37. S.-K. Wei, F. Huang, R. Klette: Three-dimensional scene navigation through anaglyphic panorama visualization. Proc. CAIP99, Ljubljana, Slovenia (September 1999) pp. 542–549.

    Google Scholar 

  38. J.-Y. Zheng, S. Tsuji: Panoramic representation for route recognition by a mobile robot. IJCV 9(1) (October 1992) pp. 55–76.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. CITR, Computer Science Department, The University of Auckland, Tamaki Campus, Auckland, New Zealand

    Shou Kang Wei, Fay Huang & Reinhard Klette

Authors
  1. Shou Kang Wei
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  2. Fay Huang
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  3. Reinhard Klette
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Editor information

Editors and Affiliations

  1. Center for image Technology and Robotics (CITR Tamaki), Auckland, New Zealand

    Reinhard Klette  & Georgy Gimel’farb  & 

  2. 2039 Beckman Institute, University of Illinois, 405 N. Mathews, Urbana, IL, 61801, USA

    Thomas Huang

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© 2001 Springer-Verlag Berlin Heidelberg

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Wei, S.K., Huang, F., Klette, R. (2001). Classification and Characterization of Image Acquisition for 3D Scene Visualization and Reconstruction Applications. In: Klette, R., Gimel’farb, G., Huang, T. (eds) Multi-Image Analysis. Lecture Notes in Computer Science, vol 2032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45134-X_6

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  • DOI: https://doi.org/10.1007/3-540-45134-X_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42122-1

  • Online ISBN: 978-3-540-45134-1

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