Accurate Geo-Registration by Ground-to-Aerial Image Matching

Qi Shan,Changchang Wu,B. Curless,Yasutaka Furukawa,Carlos Hernández,S. Seitz

Published 2014 in International Conference on 3D Vision

ABSTRACT

We address the problem of geo-registering ground-based multi-view stereo models by ground-to-aerial image matching. The main contribution is a fully automated geo-registration pipeline with a novel viewpoint-dependent matching method that handles ground to aerial viewpoint variation. We conduct large-scale experiments which consist of many popular outdoor landmarks in Rome. The proposed approach demonstrates a high success rate for the task, and dramatically outperforms state-of-the-art techniques, yielding geo-registration at pixel-level accuracy.

PUBLICATION RECORD

  • Publication year

    2014

  • Venue

    International Conference on 3D Vision

  • Publication date

    2014-12-01

  • Fields of study

    Geography, Computer Science, Engineering, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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