LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors-Reference-Cited by-同舟云学术

LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors

Published:2020 Issue: Volume: Page:295-312
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020
language:
Short-container-title:

Author:

Brejcha Jan^ORCID,Lukáč Michal^ORCID,Hold-Geoffroy Yannick^ORCID,Wang Oliver^ORCID,Čadík Martin^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58526-6_18

Reference39 articles.

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2. Aguilera, C.A., Sappa, A.D., Aguilera, C., Toledo, R.: Cross-spectral local descriptors via quadruplet network. Sensors (Switzerland) 17(4), 1–14 (2017). https://doi.org/10.3390/s17040873

3. Arandjelović, R., Gronat, P., Torii, A., Pajdla, T., Sivic, J.: NetVLAD: CNN architecture for weakly supervised place recognition. Arxiv (2015). http://arxiv.org/abs/1511.07247

4. Baboud, L., Čadík, M., Eisemann, E., Seidel, H.P.: Automatic photo-to-terrain alignment for the annotation of mountain pictures. In: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011, pp. 41–48. IEEE Computer Society, Washington (2011). https://doi.org/10.1109/CVPR.2011.5995727

5. Baruch, E.B., Keller, Y.: Multimodal matching using a hybrid convolutional neural network. CoRR abs/1810.12941 (2018). http://arxiv.org/abs/1810.12941

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