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View Planning for Cityscape Archiving and Visualization

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Computer Vision – ACCV 2007 (ACCV 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4843))

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Abstract

This work explores full registration of scenes in a large area purely based images for city indexing and visualization. Ground-based images including route panoramas, scene tunnels, panoramic views, and spherical views are acquired in the area and are associated with geospatial information. In this paper, we plan distributed locations and paths in the urban area based on the visibility, image properties, image coverage, and scene importance for image acquisition. The criterion is to use a small number of images to cover as large scenes as possible. LIDAR data are used in this view evaluation and real data are acquired accordingly. The extended images realize a compact and complete visual data archiving, which will enhance the perception of spatial relations of scenes.

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Authors and Affiliations

  1. Department of Computer Science, Indiana University Purdue University Indianapolis (IUPUI), USA

    Jiang Yu Zheng & Xiaolong Wang

Authors
  1. Jiang Yu Zheng
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  2. Xiaolong Wang
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Yasushi Yagi Sing Bing Kang In So Kweon Hongbin Zha

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© 2007 Springer-Verlag Berlin Heidelberg

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Zheng, J.Y., Wang, X. (2007). View Planning for Cityscape Archiving and Visualization. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds) Computer Vision – ACCV 2007. ACCV 2007. Lecture Notes in Computer Science, vol 4843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76386-4_28

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  • DOI: https://doi.org/10.1007/978-3-540-76386-4_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76385-7

  • Online ISBN: 978-3-540-76386-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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