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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)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)Smart Surveillance Technologies in Border Control., , , and . Eur. J. Law Technol., (2013)Simultaneous regression and feature learning for facial landmarking., , , and . CoRR, (2019)Face recognition in the wild with the Probabilistic Gabor-Fisher Classifier., , , and . FG, page 1-6. IEEE Computer Society, (2015)To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?, , , , , , , and . WACV, page 20-29. IEEE Computer Society, (2018)Localization of Facial Landmarks in Depth Images Using Gated Multiple Ridge Descent., , , , and . IWOBI, page 1-8. IEEE, (2018)Validation of Speech Data for Training Automatic Speech Recognition Systems., , and . EUSIPCO, page 1165-1169. IEEE, (2022)Deep Face Decoder: Towards understanding the embedding space of convolutional networks through visual reconstruction of deep face templates., , , , and . Eng. Appl. Artif. Intell., (2024)