Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Reference40 articles.
1. Swets, D.L., Weng, J.J.: Using discriminant eigenfeatures for image retrieval. IEEE Trans. Patt. Anal. Mach. Intell. 18(8), 831–836 (1996)
2. Turhal, U., Günay Yılmaz, A., Nabiyev, V.: A new face presentation attack detection method based on face-weighted multi-color multi-level texture features. Vis. Comput. (2023). https://doi.org/10.1007/s00371-023-02866-2
3. Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Patt. Anal. Mach. Intell. 24(7), 971–987 (2002)
4. Tan, X.Y., Triggs, B.: Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Trans. Image Process 19(6), 1635–1650 (2010)
5. Huang, D., Ardabilian, M., Wang, Y., Chen, L.: 3-D face recognition using eLBP-based facial description and local feature hybrid matching. IEEE Trans. IFS 7(5), 1551–1565 (2012)