Amina Achaibou
Papers
1
Total Citations
4
H-Index
1
About
Dr. Amina Achaibou is a leading researcher in computational imaging and computer vision, with a primary focus on depth sensing and 3D reconstruction. Her work addresses critical challenges in Time-of-Flight (ToF) imaging systems, which are essential for applications in robotics, augmented reality, and autonomous driving. Her most cited paper, "Guided Depth Inpainting in ToF Image Sensing Based on Near Infrared Information" (2025), introduces a novel method to correct invalid pixels and fill missing depth values—common issues in low-light environments. By leveraging near-infrared guidance, her approach significantly enhances depth map accuracy, directly improving the reliability of real-world vision systems. With 4 citations already for this recent work, Dr. Achaibou’s contributions are gaining traction in the field. Her research stands out for its practical impact, offering robust solutions to persistent sensor limitations. As a rising voice in computer vision, she is shaping the future of depth-aware technologies, making her work essential reading for students and researchers tackling real-world sensing challenges.
Research Focus
Key Achievements
Top Papers
- 1