Papers
1
Total Citations
29
H-Index
1
About
F. Dekeyser is a leading figure in computer vision, with a core focus on 3D reconstruction and Structure from Motion (SfM). His most influential contribution, the 2006 paper "3D reconstruction of complex structures with bundle adjustment: an incremental approach," introduced a groundbreaking incremental method for estimating 3D point positions and camera parameters from video sequences. This work, which has garnered 29 citations, established a fast and robust framework for bundle adjustment that became foundational for processing complex, real-world scenes. By enabling accurate camera trajectory and 3D structure recovery from unordered image sets, Dekeyser’s research has had a lasting impact on fields ranging from robotics and autonomous navigation to augmented reality and digital heritage preservation. His incremental SfM approach remains a key reference for researchers developing scalable 3D vision systems, cementing his reputation as a pioneer in practical, high-fidelity 3D reconstruction.
Research Focus
Key Achievements
Top Papers
- 1