Sex estimation is a challenging problem in both forensic anthropology and bioarchaeology. Sexual dimorphism is most noticeably displayed by the pelvis; however in instances when it is not preserved, sex is estimated by skull. There is a multitude of approaches that use the skull, however, their population specificity and variable sexual dimorphism oscillation reduces their effectiveness (Bruzek and Murail, 2006). We base our contribution on the study by Abdel Fatah et al. (2014) that estimates sex based on exocranial and endocranial surfaces with a high success rate of 97%. Our approach uses anonymized CT scans of skulls from recent french population, from which the exocranial surface was segmented. On these surfaces, CPD-DCA (Dupej et al., 2014) was performed. We analyzed both form and shape (form after size normalization) of these surfaces in 104 skulls (53 males, 51 females) aged 18 to 92 years. The mean age was 58 years in females and 52.46 years in males. Classification was performed using support vector machines (SVM) with a radial kernel. Leave-one-out crossvalidation was also applied. The highest success rate (87.5 %) was achieved with the first 27 principal components of form. Classification of shape was less accurate by only 2 %. Even though our success rate was lower than that of Abdel...

This master's work was focused on the assessment of sexual dimorphism of external and internal morphology of frontal bone. Sexual diagnosis based on external surface of frontal bones and volume and surface of frontal sinuses was carried out using geometric morphometrics methods. Our approach used anonimized CT scans of 103 skulls from recent Czech population, from which 3D models of frontal bones and frontal sinuses were created. At first the analysis was aimed at studying form and shape of external surface of frontal bone. Our methodology is based on the work of Musilová et al. (2016) that estimates sex using exocranial surface of the entire skull. We analyzed variability and tested differences in males and females frontal bones. The main target of this work was sex classification. The highest success rate acquired 86,41 % with the first 20 main components of form. The following part of this study was focused on sex estimation using the methodology developed by Bulut et al. (2016), which was applied in Turkish population. This method classified Czech males and females with accuracy 70,87 %. In order to complete sex determination based on the frontal bone we also used classification of the radius of the frontal bone curvature with success rate of 77,66 %. The attention was also paid to studying...