About

Ahmed Rebbani is a researcher specializing in projector-camera systems, human-computer interaction, and computer vision, with a focus on dynamic projection mapping and automated display calibration. His work addresses the challenge of seamlessly integrating multiple or mobile projectors into interactive environments. In his most-cited paper, "Auto-fit multiple movable projections into one display screen" (2019, 2 citations), Rebbani developed a method for automatically aligning two or more mobile projectors onto a single planar screen using camera feedback, enabling flexible, ad-hoc display configurations without manual calibration. His earlier work, "Auto guiding a mobile projector" (2018, 2 citations), introduced a mathematical model and simulation for a robot-guided mobile projector that autonomously adjusts its projection based on visual feedback from a stationary camera. Though his citation counts are modest, these contributions lay important groundwork for adaptive projection systems in augmented reality, smart classrooms, and interactive installations. Rebbani’s research is notable for its practical approach to solving real-world alignment and guidance problems in projector-camera systems, offering a foundation for future advances in mobile and multi-projector displays.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Auto-fit multiple movable projections into one display screen
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Hassan II Casablanca, École Normale Supérieure de l'Enseignement Technique de Mohammedia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago