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Key Parameters of Face Shape Variation in 3D in a Large Sample *
Author(s) -
Evison Martin,
Dryden Ian,
Fieller Nick,
Mallett Xanthé,
Morecroft Lucy,
Schofield Damian,
Bruegge Richard Vorder
Publication year - 2010
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/j.1556-4029.2009.01213.x
Subject(s) - variation (astronomy) , sexual dimorphism , anthropometry , face (sociological concept) , sample size determination , sample (material) , computer science , artificial intelligence , key (lock) , pattern recognition (psychology) , statistics , mathematics , geography , biology , sociology , zoology , social science , physics , chemistry , computer security , archaeology , chromatography , astrophysics
Abstract: Improvement of methods for evidential facial comparison for the Courts relies on the collection of large databases of facial images that permit the analysis of face shape variation and the development of statistical tools. In this paper, we present a short description and key findings of an anthropometric study of face shape variation in three‐dimensions. We used Statistical Shape Analysis to investigate a large database sample ( n = 1968), classified by age and gender. We found that size, shape of the bilateral features and midline contributed successively to overall variation. Face size is associated with age. Sexual dimorphism is evident in size and shape, and shows patterns that affect male and female subjects differently. We anticipate this approach will lend itself to the development of methods for analysis of variation within subject groups and the establishment of the relative uniqueness or abundance of facial measurements within them.