ORB for Detecting Copy-Move Regions with Scale and Rotation in Image Forensics-Reference-Cited by-同舟云学术

ORB for Detecting Copy-Move Regions with Scale and Rotation in Image Forensics

Published:2020 Issue: Volume: Page:358-372
ISSN:1865-0929
Container-title:Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications
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Author:

Huynh Kha-Tu,Ly Tu-Nga,Le-Tien Thuong

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-4370-2_25

Reference28 articles.

1. Songtao, Z., Chao, L., Liqing, L.: An improved method for eliminating false matches. In: 2017 2nd International Conference on Image, Vision and Computing (ICIVC), pp. 133–137. IEEE, June 2017

2. Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to SIFT or SURF. In: 2011 International conference on computer vision, pp. 2564–2571. IEEE, November 2011

3. Karami, E., Prasad, S., Shehata, M.: Image matching using SIFT, SURF, BRIEF and ORB: performance comparison for distorted images. arXiv preprint arXiv:1710.02726 (2017)

4. Popescu, A.C., Farid, H.: Exposing digital forgeries by detecting duplicated image regions. Dept. Comput. Sci., Dartmouth College, Technical Report TR2004–515, 1-11 (2017)

5. Luo, W., Huang, J., Qiu, G.: Robust detection of region-duplication forgery in digital image. In: 18th International Conference on Pattern Recognition (ICPR 2006), Vol. 4, pp. 746–749. IEEE, August 2006

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