N. Nasreddinne
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
Top Papers
- 1REAL-TIME STEREOVISION BY AN INTEGRATED SENSOR2 citations · 2007