Designing Shoe Lasts Through 3D Feet Scans Clusterization Using Anthropometric Parameters of Population Groups

摘要

This article describes a software tool for optimizing lasts design. The proposed solution is based on a statistical analysis of feet 3D-models. This approach consists of several stages. At the beginning, feet are measured and the dimensions are determined. On the next step, the cross-vertical/cross-horizontal sections are built at a given interval, parameters for each individual section are calculated. The obtained data is statistically processed, one-dimensional and two-dimensional histograms of feet parameters are constructed. Furthermore, feet are grouped by sex, age, and size. For each group overlapping sections of the same type are drawn for a possible visual creation of the average section for a given sample.