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Two different approaches to handle landmark location uncertainty in skull-face overlay: coevolution vs fuzzy landmarks., , и . EUSFLAT Conf., стр. 334-341. Atlantis Press, (2011)FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs., , , , , и . Expert Syst. Appl., (2022)Genetic algorithms for skull-face overlay including mandible articulation., , , , , и . Inf. Sci., (2017)3D-2D silhouette-based image registration for comparative radiography-based forensic identification., , , , и . Pattern Recognit., (2018)Forensic Identification by Craniofacial Superimposition Using Fuzzy Set Theory., , , , , , и . Fuzzy Approaches for Soft Computing and Approximate Reasoning, том 394 из Studies in Fuzziness and Soft Computing, Springer, (2021)Forensic identification by computer-aided craniofacial superimposition: A survey., , , , , , и . ACM Comput. Surv., 43 (4): 27:1-27:27 (2011)Modeling the consistency between the bony and facial chin outline in craniofacial superimposition., , и . IFSA-EUSFLAT, Atlantis Press, (2015)Tackling the coplanarity problem in 3D camera calibration by means of fuzzy landmarks: a performance study in forensic craniofacial superimposition., , , и . ICCV Workshops, стр. 1686-1693. IEEE Computer Society, (2009)An advanced scatter search design for skull-face overlay in craniofacial superimposition., , , и . Expert Syst. Appl., 39 (1): 1459-1473 (2012)Topological Active Nets Optimization Using Genetic Algorithms., , , и . ICIAR (1), том 4141 из Lecture Notes in Computer Science, стр. 272-282. Springer, (2006)