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Adaptation of SIFT Features for Robust Face Recognition., , and . ICIAR (1), volume 6111 of Lecture Notes in Computer Science, page 394-404. Springer, (2010)To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-Processing to Improve Face Recognition Performance?, , , , , , , and . CoRR, (2016)SIFT vs. FREAK: Assessing the usefulness of two keypoint descriptors for 3D face verification., , , , and . MIPRO, page 1336-1341. IEEE, (2014)Combining 3D face representations using region covariance descriptors and statistical models., , and . FG, page 1-7. IEEE Computer Society, (2013)Simultaneous multi-descent regression and feature learning for facial landmarking in depth images., , , and . Neural Comput. Appl., 32 (24): 17909-17926 (2020)Modest face recognition., , and . IWBF, page 1-6. IEEE, (2015)A Feasibility Study on the Use of Binary Keypoint Descriptors for 3D Face Recognition., , and . MCPR, volume 8495 of Lecture Notes in Computer Science, page 142-151. Springer, (2014)Learning privacy-enhancing face representations through feature disentanglement., , , , , , , and . FG, page 495-502. IEEE, (2020)Simultaneous regression and feature learning for facial landmarking., , , and . CoRR, (2019)A survey on computer vision based human analysis in the COVID-19 era., , , , , , , , , and 1 other author(s). Image Vis. Comput., (February 2023)