Automatic skull-face overlay and mandible articulation in data science by AIRS-Genetic algorithm

Author:

Yuvaraj N.,Kousik N.V.,Raja R. Arshath,Saravanan M.

Publisher

Elsevier BV

Reference19 articles.

1. Study on the criteria for assessing skull-face correspondence in craniofacial superimposition;Ibáñez;Leg. Med.,2016

2. Modeling skull-face anatomical/morphological correspondence for craniofacial superimposition-based identification;Campomanes-Alvarez;IEEE Trans. Inf. Forensics Secur.,2018

3. Design of criteria to assess craniofacial correspondence in forensic identification based on computer vision and fuzzy integrals;Campomanes-Alvarez;Appl. Soft Comput.,2016

4. Semi supervised hierarchy forest clustering and KNN based metric learning technique for machine learning system;Karthick;J. Adv. Res. Dyn. Contr. Syst.,2017

5. Variability of the Upper Palaeolithic skulls from Předmostí near Přerov (Czech Republic): craniometric comparison with recent human standards;Velemínská;Homo,2008

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