Image Based Geo-localization in the Alps-Reference-Cited by-同舟云学术

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Image Based Geo-localization in the Alps

Published:2015-06-12 Issue:3 Volume:116 Page:213-225
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Saurer Olivier,Baatz Georges,Köser Kevin,Ladický L’ubor,Pollefeys Marc

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-015-0830-0.pdf

Reference38 articles.

1. Baatz, G., Köser, K., Chen, D., Grzeszczuk, R., & Pollefeys, M. (2012). Leveraging 3d city models for rotation invariant place-of-interest recognition. International Journal of Computer Vision, 96, 315–334. Special Issue on Mobile Vision.

2. Baatz, G., Saurer, O., Köser, K., & Pollefeys, M. (2012). Large scale visual geo-localization of images in mountainous terrain. In Proceedings of European Conference on Computer Vision (ECCV) (pp. 517–530).

3. Baboud, L., Cadík, M., Eisemann, E., & Seidel, H.-P. (2011). Automatic photo-to-terrain alignment for the annotation of mountain pictures. In Proceedings of Computer Vision and Pattern Recognition (CVPR) (pp. 41–48).

4. Bansal, M., & Daniilidis, K. (2014). Geometric urban geo-localization. In Proceedings of Computer Vision and Pattern Recognition (CVPR) (pp. 3978–3985).

5. Bazin, J.-C., Kweon, I., Demonceaux, C., & Vasseur, P. (2009). Dynamic programming and skyline extraction in catadioptric infrared images. In Proceedings of International Conference on Robotics and Automation (ICRA) (pp. 409–416).

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