About

Driss Azougagh is a researcher in computer vision and human-computer interaction, with a focused expertise in projector-camera systems and spatial display technologies. His work addresses the fundamental challenge of creating seamless, adaptive visual experiences using mobile projection hardware. Dr. Azougagh’s major contributions include developing mathematical models and algorithms for auto-guiding mobile projectors and auto-fitting multiple movable projections onto a single display screen. His 2018 paper, "Auto guiding a mobile projector," introduces a feedback-driven control system that enables a robot-mounted projector to autonomously correct its position and orientation on a planar screen, using a calibrated stationary camera as feedback. Building on this, his 2019 paper, "Auto-fit multiple movable projections into one display screen," extends the concept to multi-projector environments, solving the complex problem of dynamically arranging and aligning several independent projections into a coherent, unified display. While his citation counts (2 each) reflect a niche but specialized audience, his work represents foundational steps toward flexible, self-calibrating projection systems. Dr. Azougagh’s research is particularly valuable for applications in augmented reality, interactive installations, and adaptive digital signage, where traditional fixed-projector setups are impractical.

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 · 13 days ago