Research team
Expertise
Shape analysis; Statistical shape modeling; Surface registration; Posture normalization; Pose deformation; 3D scanning;
GO-AID: Advanced Research into AI for Digital Orthopedic Modeling.
Abstract
GO-AID investigates deep learning methods for 3D modeling, focusing on more accurate reconstruction of 3D scans and shape prediction. The AI algorithms are integrated into digital processes for custom orthopedic devices and continuously improved through feedback and retraining.Researcher(s)
- Promoter: Sijbers Jan
- Fellow: Danckaers Femke
Research team(s)
Project type(s)
- Research Project
Building an articulating 3D shape model for an improved seating comfort.
Abstract
There is a wide variety of body shapes. The goal of this project is to develop a statistical shape model of the population, based on 3D scans of the exterior of the body. This virtual model is fully adjustable, both in pose as well as in body shape. The characteristics are also adjustable. The model can be used by product developers to deliver better, more comfortable, semi-custom designs.Researcher(s)
- Promoter: Sijbers Jan
- Co-promoter: De Bruyne Guido
- Co-promoter: Huysmans Toon
- Co-promoter: Truijen Steven
- Fellow: Danckaers Femke
Research team(s)
Project type(s)
- Research Project