Sanaa Elfkihi

Mohammed V University

Papers

1

Total Citations

4

H-Index

1

About

Sanaa Elfkihi is a researcher whose work bridges computer vision and robotics, with a particular focus on catadioptric camera systems and visual contact analysis. Her most-cited paper, "Visual contact with catadioptric cameras" (2014), has garnered 4 citations, reflecting her contributions to understanding how these omnidirectional imaging systems can be used to detect and maintain visual contact—a critical capability for autonomous navigation and surveillance applications. Catadioptric cameras, which combine mirrors and lenses to achieve wide fields of view, are central to her research, and she has explored their geometric and optical properties to enhance visual tracking and scene understanding. While her citation count is modest, her work lays foundational groundwork for more advanced studies in visual contact, particularly in contexts where traditional cameras fail, such as in crowded or dynamic environments. Elfkihi’s research is notable for its practical implications in robotics, where reliable visual contact is essential for tasks like human-robot interaction and obstacle avoidance. Her contributions, though early in their impact, highlight a focused and technically rigorous approach to solving real-world vision challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Visual contact with catadioptric cameras
4 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Mohammed V University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago