A method of creating 3-D face images from 2-D photos for face recognition
International Journal of Biometrics
An improved hybrid approach to face recognition by fusing local and global discriminant features
International Journal of Biometrics
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The purpose of this study was to study the latent structure of the cephalofacial variables and to explain the clustering of these measurements. Eleven cephalofacial measurements were done on 561 male entities aged 18-35 years. The collected data are analysed through descriptive parameters, correlation analysis, and factorial analyses. Correlation analysis confirms three sets of variables that realise the higher correlations with each other. According to the principal component analysis of the factor analysis three latent factors have been extracted that explain 53.3% of the total variance: the neurocranial volume factor; the transversal factor of the face; and the longitudinal factor of the face. The reduction of multiple measured manifest variables in a small number of latent factors may facilitate the work of anthropologists in studying and explaining of the genetic basis of development of bones, cartilages and soft tissues of the head and their morphological construction.