L. D'haene
Papers
1
Total Citations
56
H-Index
1
About
L. D’haene has made significant contributions to the field of visual servoing and robotic vision, with a particular focus on robust image matching under challenging conditions. Their most-cited work, "Matching of affinely invariant regions for visual servoing" (2003, 56 citations), introduced novel techniques that leverage affine invariants to enable reliable feature matching across large viewpoint changes, without relying on artificial markers. This approach assumes only the presence of locally planar, unoccluded scene regions with sufficient structure, making it highly practical for real-world robotic applications. D’haene’s research addresses a core challenge in vision-based control: maintaining accuracy and stability when the camera perspective shifts dramatically. By developing methods that are both marker-free and robust to affine transformations, their work has influenced subsequent advances in autonomous navigation, object tracking, and servoing systems. The enduring relevance of this paper, as reflected in its citation count, underscores its impact on the robotics and computer vision communities. For students and researchers exploring visual servoing, D’haene’s contributions offer foundational insights into achieving reliable performance in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Matching of affinely invariant regions for visual servoing56 citations · 2003