View Planning for Cityscape Archiving and Visualization

  • Jiang Yu Zheng
  • Xiaolong Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4843)


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.


Multimedia panoramas visibility urban space LIDAR data model based vision heritage 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Jiang Yu Zheng
    • 1
  • Xiaolong Wang
    • 1
  1. 1.Department of Computer Science, Indiana University Purdue University Indianapolis (IUPUI)USA

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