Research on variational optical flow method for rockfall monitoring-Reference-Cited by-同舟云学术

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Research on variational optical flow method for rockfall monitoring

Published:2024-04-24 Issue:S1 Volume:18 Page:713-730
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Chen Hui,Zhang Lu,Zhang Ying,Liu Juan

Funder

Creative Research Groups of the Natural Science Foundation of Sichuan

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project

Research Project of Chunhui Plan, Ministry of Education

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11760-024-03187-0.pdf

Reference42 articles.

1. Adelson, E. H., Burt, P. J., Anderson, C. H., Ogden, J. M., & Bergen, J. R.: Pyramid methods in image processing. RCA Engineer (1984)

2. Baker, S., Scharstein, D., Lewis, J.P., Roth, S., Black, M.J., Szeliski, R.: A database and evaluation methodology for optical flow. Int. J. Comput. Vision (2011). https://doi.org/10.1007/s11263-010-0390-2

3. Barla, G., Antolini, F., Barla, M., Mensi, E., Piovano, G.: Monitoring of the Beauregard landslide (Aosta Valley, Italy) using advanced and conventional techniques. Eng. Geol. (2010). https://doi.org/10.1016/j.enggeo.2010.09.004

4. Brox, T., Bruhn, A., Papenberg, N., & Weickert, J.: High accuracy optical flow estimation based on a theory for warping. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 25–36) (2004). https://doi.org/10.1007/978-3-540-24673-2_3

5. Bruhn, A., Weickert, J., Feddern, C., Kohlberger, T., Schnorr, C.: Variational optical flow computation in real time. IEEE Trans. Image Process. 14, 608–615 (2005). https://doi.org/10.1109/TIP.2005.846018

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