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Modeling Facial Soft Tissue Thickness for Automatic Skull-Face Overlay.

, , , , and . IEEE Trans. Inf. Forensics Secur., 10 (10): 2057-2070 (2015)

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Hierarchical information fusion for decision making in craniofacial superimposition., , , and . Inf. Fusion, (2018)Modeling Skull-Face Anatomical/Morphological Correspondence for Craniofacial Superimposition-Based Identification., , , , and . IEEE Trans. Inf. Forensics Secur., 13 (6): 1481-1494 (2018)Person Identification System in a Platform for Enabling Interaction with Individuals Affected by Profound and Multiple Learning Disabilities., , and . ICCI*CC, page 166-173. IEEE, (2019)Experimental study of different aggregation functions for modeling craniofacial correspondence in craniofacial superimposition., , and . FUZZ-IEEE, page 437-444. IEEE, (2016)Design of criteria to assess craniofacial correspondence in forensic identification based on computer vision and fuzzy integrals., , and . Appl. Soft Comput., (2016)An experimental study on fuzzy distances for skull-face overlay in craniofacial superimposition., , , , and . Fuzzy Sets Syst., (2017)Modeling Facial Soft Tissue Thickness for Automatic Skull-Face Overlay., , , , and . IEEE Trans. Inf. Forensics Secur., 10 (10): 2057-2070 (2015)Genetic algorithms for skull-face overlay including mandible articulation., , , , , and . Inf. Sci., (2017)Forensic Identification by Craniofacial Superimposition Using Fuzzy Set Theory., , , , , , and . Fuzzy Approaches for Soft Computing and Approximate Reasoning, volume 394 of Studies in Fuzziness and Soft Computing, Springer, (2021)Person Identification System in a Platform for Enabling Interaction With Individuals Affected by Profound and Multiple Learning Disabilities., , and . Int. J. Softw. Sci. Comput. Intell., 12 (1): 30-46 (2020)