Assigned sex estimation via the greater sciatic notch (GSN) is traditionally performed via physical/visual examination and ordinal scoring; however, this relies on the subjective assessment of morphology for typological classification which may not be reflective of human variation. Three-dimensional (3D) photogrammetry may offer a technologically advanced, low cost, and more objective alternative to assess the complex curvature of anatomical landmarks. This research explores the accuracy of photogrammetry derived 3D models by comparing digital measurements to those obtained from the skeletal elements and to streamline the application of curvature analysis for the estimation of assigned sex from the GSN. This study utilizes the left and right os coxae from 15 skeletal individuals (5 females, 10 males) from the Boston University Chobanian & Avedisian School of Medicine. A Fujifilm X-Pro2 and Fujifilm 35 mm prime lens captured 123 images per element, which were processed in Meshroom by AliceVision® to create a 3D textured mesh. The mesh was exported into Blender for cleanup, scaling, measurement, and curvature analysis. The measurements were between 96.54% and 99.94% consistent across methods and observations. The consistency between digital metric observations increased by an average of 0.07% when compared to the consistency of the dry bone measurements. Additionally, curvature analysis of the GSN correctly estimated the assigned sex of all os coxae in the sample. This study demonstrates that photogrammetry is an accurate and reliable method for the digitization of remains that enables analytical techniques to better capture skeletal variation compared to traditional methods.

The aim of this work is sexual dimorphism quantification of greater sciatic notch profile using 2D geometric morphometrics methods. The curvature was digitized by two different methods - manually with contact digitizer MicroScribe G2 and automatically with software Morphome3cs. Results from each method were comparised and advatages and disadvantages of boths methods were discussed. Target sample of 114 adult specimens of known sex was analyzed. This collection comes from Maxwell Museum of Anthropology, The University of New Mexico, Albuquerque and contains 57 male and 57 female hip bones. For the method verification the test smaple contains 112 adult specimens of known sex was used. This collection comes from Universidad Nacional Autonóma de México (UNAM). This collection contains 56 male and 56 female hip bones. The procrustes analysis, principal components analysis, thin plate spine and discriminant function analysis were used for analysis. We could make a detail description of morphologic differences in greater sciatic notch shape of men and women because of shape visualisation and difference of both group was confirmed by discriminant function analysis. Sex assesment achieves accuracy 92,11% - 98,25% in dependence on used methods and number of semilandmarks.