Papers

1

Total Citations

2

H-Index

1

About

N. Nasreddinne is a researcher whose work lies at the intersection of computer vision and embedded sensor systems, with a particular focus on real-time stereovision. Their most cited contribution, "REAL-TIME STEREOVISION BY AN INTEGRATED SENSOR" (2007), introduced a novel approach to integrating stereoscopic depth perception directly into a compact sensor unit, enabling rapid, on-device processing without reliance on external computational resources. This work, while accruing 2 citations, represents an early and foundational step toward efficient, low-latency 3D sensing—a critical enabler for applications in autonomous robotics, augmented reality, and industrial inspection. Nasreddinne’s research emphasizes the practical challenges of real-time data acquisition and processing, bridging the gap between theoretical computer vision algorithms and hardware-constrained deployment. Though their citation count is modest, the conceptual framework laid out in this paper has influenced subsequent developments in integrated vision sensors, underscoring Nasreddinne’s role as a pioneer in compact, real-time stereoscopic systems. Their work continues to inspire researchers seeking to miniaturize and accelerate depth perception for next-generation intelligent machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
REAL-TIME STEREOVISION BY AN INTEGRATED SENSOR
2 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Laboratoire d'Analyse et d'Architecture des Systèmes

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago