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Related Experiment Videos

Scanning scene tunnel for city traversing.

Jiang Yu Zheng1, Yu Zhou, Panayiotis Milli

  • 1Department of Computer Science, Indiana University Purdue University Indianapolis, IN 26202, USA. jzheng@cs.iupui.edu

IEEE Transactions on Visualization and Computer Graphics
|March 3, 2006
PubMed
Summary

This study introduces scene tunnels, a novel visual representation for capturing and visualizing urban street scenes. This method offers a more complete archive than traditional panoramas, enabling seamless virtual navigation.

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Area of Science:

  • Computer Vision
  • Computer Graphics
  • Urban Informatics

Background:

  • Existing methods for capturing urban scenes, like route panoramas, offer incomplete visual archives.
  • There is a need for comprehensive and continuous visual representations of urban environments for internet-based applications.

Purpose of the Study:

  • To propose and detail a novel visual representation called 'scene tunnel' for capturing and visualizing urban scenes along routes.
  • To enable more complete and continuous visualization of urban environments for internet and mobile navigation.

Main Methods:

  • Utilizing multiple cameras or a fish-eye camera on a moving vehicle for scene scanning.
  • Employing a translating spherical eye, specific scanning planes, and parallel-central projection for image acquisition.

Related Experiment Videos

  • Integrating image data to create scene tunnels with uniform resolution, covering buildings, ground, and diverse viewing directions.

    • Main Results:

    • Scene tunnels provide a more complete visual archive of urban streets compared to existing route panoramas.
    • The generated scene tunnels offer uniform resolution and cover extensive urban features.
    • The sequential organization of scene tunnels facilitates texture mapping for urban models and enables dynamic rendering.

    Conclusions:

    • Scene tunnels offer a compact and continuous visual representation ideal for internet-based applications.
    • This method facilitates efficient model construction, data streaming, and seamless navigation in virtual or real urban environments.
    • The developed technique enhances virtual and real-world navigation experiences through dynamic rendering and interaction.