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Stereo panorama acquisition and automatic image disparity adjustment for stereoscopic visualization

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Abstract

Image-based visualization is popular for various virtual tour applications, due to high-quality photorealism or simplicity for rendering. Stereo panorama representations of the virtual world are already a common part of this, either in small (computer screen) format or on large-scale stereo displays or screens. This paper discusses methods for determining optimum parameters, both for high-accuracy stereo panoramic image recording and displaying, with a special focus on automatic image disparity enhancement while displaying (e.g., including zooming) a stereo panorama. Experiments show that the discussed parameters are indeed critical for ensuring high-quality stereo viewing. Derived formulas in this study are applicable to various kinds of technologies for stereo panorama imaging or stereoscopic displaying.

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Notes

  1. This includes both crossed (i.e., negative, in front of the viewing medium) and uncrossed (i.e., positive, behind the viewing medium) disparity values.

  2. Three CCD or CMOS lines, for red, green or blue channels, form the linear sensor-cell array.

  3. In this paper we use length of a panorama rather than width of a panorama (as in earlier publications) because we will speak about the length of the circumference of the image cylinder.

  4. These two values are symmetric with respect to the normal of the base circle, see Fig. 8.

  5. The definition of a square pixel is actually only valid for a planar image surface. Imagine that the cylindrical capturing surface is unrolled and flattened; this defines a planar surface which allows to apply the Euclidean metric, but, it is, obviously, geometrically different to the original non-Euclidean capturing surface.

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Acknowledgements

This project is partially sponsored by the National Science Council, Republic of China, November 2006, (grant no. NSC 95-2218-E-197-001). Both authors thank colleagues at DLR Berlin-Adlershof for collaboration and support, especially with respect to data and experiments.

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Authors and Affiliations

  1. Institute of Computer Science and Information Engineering, National Ilan University, Yi-Lan, Taiwan

    Fay Huang

  2. Computer Science Department, The University of Auckland, Auckland, New Zealand

    Reinhard Klette

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  1. Fay Huang
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  2. Reinhard Klette
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Correspondence to Fay Huang.

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Huang, F., Klette, R. Stereo panorama acquisition and automatic image disparity adjustment for stereoscopic visualization. Multimed Tools Appl 47, 353–377 (2010). https://doi.org/10.1007/s11042-009-0328-2

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