A new sizing system based on 3D shape descriptor for morphology clustering

The description of the 3D scans is performed with a computation of the geodesic distributions based on anthropometrics feature points of the human torso which enables a quantitative comparison of the morphologies. These geodesic distributions are then used as inputs for the clustering methods. Finally, a geometrical model associated with reverse engineering techniques has been realized to generate the 3D virtual parametric mannequins from the 3D body scanned of the morphotypes. Based on these morphotypes mannequins, we define an intelligent system for virtual try-on and a new sizing system can be defined in the future.