معرفی
Dr. Ludovic Magerand is a Lecturer (Teaching and Research) in the Computing department at the University of Dundee. His research expertise lies in computer vision, with significant contributions to 3D reconstruction, structure from motion, and medical imaging applications. He has been actively involved in multiple research projects funded by the Engineering and Physical Sciences Research Council (EPSRC), including the 3DFace@Home project for facial growth monitoring and the SoftEn project for soft robotics in colonoscopy.
Education:
- Doctor of Science in Dynamic pose estimation with CMOS cameras using sequential acquisition from Université Clermont Auvergne (2014)
Research Interests:
Dr. Magerand's research spans several critical areas in computer vision and robotics. His primary focus includes developing robust methods for 3D reconstruction from 2D images, particularly through structure from motion techniques. He has made significant advances in handling missing data and projective geometry problems. In medical applications, his work extends to developing soft robotic systems for minimally invasive procedures like colonoscopy. Additionally, he explores facial reconstruction techniques for medical monitoring applications, bridging the gap between theoretical computer vision and practical healthcare solutions.
His research demonstrates a strong commitment to addressing UN Sustainable Development Goals, particularly in advancing healthcare technologies and educational applications of computer vision.
Research Trends:
Across his publications, a clear evolution is visible from foundational work in 3D reconstruction and pose estimation (2012) to more specialized applications in medical robotics (2023) and facial reconstruction (2025). His early work focused on theoretical aspects of structure from motion and optimization techniques, while recent publications demonstrate a shift toward practical medical applications, including soft robotics for colonoscopy and mobile-based facial reconstruction systems. This progression showcases his ability to translate theoretical computer vision research into impactful medical technologies.
Research Projects:
- 3DFace@Home: Accurate Facial 3D Reconstruction From Mobile Devices At Home For Growth Monitoring (2024-2026, EPSRC funded, joint with Glasgow University)
- SoftEn: Soft Endorobot for colonoscopy applications (2021-2023, EPSRC funded)
Datasets & Supervision:
Dr. Magerand has contributed to the MASIVE dataset, a multi-impression fingerprint dataset used for investigating verification failures in African election settings, serving as a supervisor for this 2024 dataset release.
