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3D City Model Generation from Ground Images

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Advances in Computer Graphics (CGI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4035))

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Abstract

In this paper, a 3D city model generation method is described. At first, the ground images around the area of interest are acquired using a camera mounted on a GPS device and digital compass, which provide the initial inaccurate pose of each image. An adjacency graph that spatially represents the adjacency between images or buildings is built to handle efficiently a huge number of unordered image sequences. A set of images with views of the same building is automatically grouped, and an optimization algorithm based on SFM corrects their poses. Finally, a method of global pose estimation is outlined that can register 3D isolated building models in a global coordinate system. We validate our approach with a set of experiments on some urban sites.

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© 2006 Springer-Verlag Berlin Heidelberg

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Jang, K.H., Jung, S.K. (2006). 3D City Model Generation from Ground Images. In: Nishita, T., Peng, Q., Seidel, HP. (eds) Advances in Computer Graphics. CGI 2006. Lecture Notes in Computer Science, vol 4035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11784203_60

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  • DOI: https://doi.org/10.1007/11784203_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35638-7

  • Online ISBN: 978-3-540-35639-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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