Abstract
The human foot is an incredibly complex combination of bones, joints, and muscles which helps humans with their balance, posture, and mobility. Foot measurement extraction plays an essential role in many applications ranging from medical science to fashion industry. Conventional foot measurement extraction methods require manual interventions using a measuring tape or its digital twins. Recent advancements in 3D scanning technologies and deep learning strategies enable us to propose, to the best of our knowledge, the first deep-learning-based approach to automatic foot measurement extraction from a single 3D scan.
Pengpeng Hu
Assistant Professor
Pengpeng Hu is currently an Assistant Professor with the Center for Computational Science and Mathematical Modeling, Coventry University, Coventry, U.K. He was a Senior Researcher with the Department of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Brussels, Belgium. In 2016, he was a Visiting Scholar with the School of Informatics, Edinburgh University, Edinburgh, U.K. In 2017, he was a Post-Doctoral Fellow with the Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K. Since 2018, he has been with VUB. His current research interests include biometrics, geometric deep learning, 3-D human body reconstruction, point cloud processing, and measurement.