Abstract
This paper proposes a new method for building a walk-through virtual space that uses the Town Digitizing tools we have developed. The virtual space is built by smoothly interpolating a large number of omnidirectional images captured from the real world. This paper discusses how to build the virtual space and describes three of our software tools. We call them TDEditor, TAG-Editor, and TDViewer. Town Digitizing is divided into four steps: omnidirectional image acquisition, parameter estimation among omnidirectional images, registration of information, and smooth interpolation among the images. A system based on Town Digitizing allows users to explore a unique virtual space that is similar to earlier 3-D graphics system. It works better than existing methods especially for complex environments that include natural objects like trees. For adding tag information to the walk-through virtual space, we introduce a new method that sets rectangular areas with information, written in HTML language, in the panoramic view. The user is presented with information associated with the object of interest on his web browser. We believe that the techniques and approach described here represent a powerful modeling method with which to build virtual cities.
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References
Ishiguro, H.: Development of low-cost compact omnidirectional vision sensors and their applications. In: Proc. Int. Conf. Information Systems, Analysis and Synthesis, pp. 433–439 (1998)
Tanaka, H., Arikawa, M., Shibasaki, R.: A 3D photo collage system for spatial navigations. In: Proc. The Second Kyoto Meeting on Digital Cities, pp. 305–316 (2001)
Teller, S., Antone, M., Bodnar, Z.: Calibrated, registered images of an extended urban area. Proc. IEEE Computer Vision and Pattern Recognition 1, 813–820 (2001)
Chen, S.E.: QuickTime VR - an image-based approach to virtual environment navigation. In: SIGGRAPH 1995, pp. 29–38 (1995)
Yamazawa, K., Yagi, Y., Yachida, M.: Omnidirectional imaging with hyperboloidal projection. In: Proc. Int. Conf. Intelligent Robots and Systems, vol. 2(7), pp. 1029–1034 (1993)
Onoe, Y., Yamazawa, K., Takemura, H., Yokoya, N.: Telepresence by real-time viewdependent image generation from omnidirectional video streams. Computer Vision and Image Understanding 71(2), 154–165 (1998)
Sogo, T.: Localization of sensors and objects in distributed omnidirectional vision. Ph.D. Thesis, Kyoto University (2001)
Yasukawa, N., Koizumi, S., Sakai, T., et al.: Environmental learning system using an imagebased virtual space. IPSJ Symposium Series, vol. 2003(7), pp. 215–216 (2003) (in Japanese)
Ishiguro, H.: Distributed vision system: A perceptual information infrastructure for robot navigation. IJCAI (1), 36–43 (1997)
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© 2005 Springer-Verlag Berlin Heidelberg
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Koizumi, S., Ishiguro, H. (2005). Town Digitizing: Omnidirectional Image-Based Virtual Space. In: van den Besselaar, P., Koizumi, S. (eds) Digital Cities III. Information Technologies for Social Capital: Cross-cultural Perspectives. Digital Cities 2003. Lecture Notes in Computer Science, vol 3081. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11407546_13
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DOI: https://doi.org/10.1007/11407546_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25331-0
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