Single-Image Depth Prediction Makes Feature Matching Easier-Reference-Cited by-同舟云学术

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Single-Image Depth Prediction Makes Feature Matching Easier

Published:2020 Issue: Volume: Page:473-492
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020
language:
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Author:

Toft Carl,Turmukhambetov Daniyar,Sattler Torsten,Kahl Fredrik,Brostow Gabriel J.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58517-4_28

Reference85 articles.

1. Aanæs, H., Dahl, A., Pedersen, K.S.: Interesting interest points. Int. J. Comput. Vis. 97, 18–35 (2012). https://doi.org/10.1007/s11263-011-0473-8

2. Altwaijry, H., Trulls, E., Hays, J., Fua, P., Belongie, S.: Learning to match aerial images with deep attentive architectures. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)

3. Lecture Notes in Computer Science;G Baatz,2010

4. Baatz, G., Köser, K., Chen, D., Grzeszczuk, R., Pollefeys, M.: Leveraging 3D city models for rotation invariant place-of-interest recognition. Int. J. Comput. Vis. (IJCV) 96(3), 315–334 (2012). https://doi.org/10.1007/s11263-011-0458-7

5. Balntas, V., Lenc, K., Vedaldi, A., Mikolajczyk, K.: HPatches: a benchmark and evaluation of handcrafted and learned local descriptors. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5173–5182 (2017)

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