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3D shape and 2D surface textures of human faces: the role of äverages" in attractiveness and age.

, , , , and . Image Vis. Comput., 18 (1): 9-19 (1999)

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Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?, , , , , , and . CoRR, (2023)A Study of the Human Perception of Synthetic Faces., , , , and . FG, page 1-8. IEEE, (2021)Overview of the Multiple Biometrics Grand Challenge., , , , , , , , , and 3 other author(s). ICB, volume 5558 of Lecture Notes in Computer Science, page 705-714. Springer, (2009)Human and algorithm performance on the PaSC face Recognition Challenge., , , and . BTAS, page 1-8. IEEE, (2015)Face and Image Representation in Deep CNN Features., , , , , , and . FG, page 673-680. IEEE Computer Society, (2017)Five Principles for Crowd-Source Experiments in Face Recognition., and . FG, page 735-741. IEEE Computer Society, (2017)Face distinctiveness in recognition across viewpoint: An analysis of the statistical structure of face spaces., and . FG, page 10-15. IEEE Computer Society, (1996)Designing Cross-Race Tests for Forensic Facial Examiners, Super-recognizers, and Face Recognition Algorithms., , , , , , and . FG, page 1-8. IEEE, (2024)Combining Images and Words in Deep Networks that Identify People from Body Shape.. ICPRAM, page 9. SCITEPRESS, (2024)Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination, , , , , and . IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (9): 1642-1646 (September 2007)