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.
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
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
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-29 of 29 references · Page 1 of 1