About

Selim Benhimane is a leading figure in visual tracking and servoing, whose work has fundamentally advanced how robots and computer vision systems interact with their environments. His primary research focuses on homography-based methods for 2D visual tracking and servoing, enabling precise motion estimation and control without requiring complex 3D models of the target. His landmark 2007 paper, "Homography-based 2D Visual Tracking and Servoing," with 326 citations, introduced an efficient second-order minimization method that dramatically improved tracking performance and robustness. Benhimane’s contributions extend to omnidirectional cameras, where he generalized homography-based tracking for central catadioptric systems, allowing robots with wide-angle sensors to navigate and manipulate objects more effectively. He also pioneered the creation of benchmark datasets and evaluation methodologies for template-based tracking, addressing a critical gap in the field and enabling fair comparison of algorithms. With over 700 total citations across his most influential works, Benhimane’s research has had a lasting impact on robotics, augmented reality, and medical imaging, particularly through his work on real-time 3D reconstruction for collision avoidance in interventional environments. His unified approaches to visual tracking and servoing remain foundational for researchers and engineers developing autonomous systems.

Research Focus

Key Achievements

10
H-Index
10
Papers
716
Total Citations
72
Avg Citations/Paper
🏆 Most Cited Paper
Homography-based 2D Visual Tracking and Servoing
326 citations · 2007
📈 Most Prolific Year: 2006 (4 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Institut national de recherche en sciences et technologies du numérique, Ludwig-Maximilians-Universität München, Fondation Sophia Antipolis, Institut de Combustion Aérothermique Réactivité et Environnement, Technical University of Munich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago