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
Senior Lecturer (Associate Professor)
Pengpeng Hu is currently a Senior Lecturer (Associate Professor) with The University of Manchester. His research interests include biometrics, geometric deep learning, 3D human body reconstruction, point cloud processing, and vision-based measurement. He serves as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Automation Science and Engineering, and Engineering and Mathematics in Medical and Life Sciences, as well as an Academic Editor for PLOS ONE and a member of the editorial board for Scientific Reports. He is also the Programme Chair for the 25th UK Workshop on Computational Intelligence (UKCI 2026) and an Area Chair for the 35th British Machine Vision Conference (BMVC 2024). He is the recipient of the Emerald Literati Award for an outstanding paper in 2019.