Detecting Image Similarity Using SIFT
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2126-0_45
Reference22 articles.
1. Li, J., Wang, G.: An improved SIFT matching algorithm based on geometric similarity. In IEEE 5th International Conference on Electronics Information and Emergency Communication, 2015
2. Zhao, J., Liu, H., Feng, Y., Yuan, S., Cai, W.: BE-SIFT: a more brief and efficient SIFT image matching algorithm for computer vision. In: IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015
3. Zhong, B., Li, Y.: Image eature point matching based on improved SIFT algorithm. In IEEE 4th International Conference on Image, Vision and Computing (ICIVC), 2019
4. Joo, H.-B., Jeon, J.W.: Feature-point extraction based on an improved SIFT algorithm. In 17th International Conference on Control, Automation and Systems (ICCAS), 2017
5. Tang, H., Tang, F.: AH-SIFT: augmented histogram based SIFT descriptor. In 19th IEEE International Conference on Image Processing, 2012
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