Tarik Elamsy
Papers
1
Total Citations
6
H-Index
1
About
Tarik Elamsy is a researcher whose work centers on computer vision, with a particular focus on camera calibration and geometric modeling. His most cited paper, "Self-calibration of stationary non-rotating zooming cameras" (2014), introduces a novel method for calibrating cameras that zoom but do not rotate—a common yet challenging scenario in surveillance and robotics. This contribution addresses a critical gap in traditional calibration techniques, which often assume rotation or fixed focal lengths, enabling more accurate 3D reconstruction from dynamic camera feeds. With 6 citations, this work has influenced subsequent studies in autonomous navigation and scene understanding. Elamsy’s research bridges theoretical geometry and practical imaging systems, offering solutions that enhance the reliability of visual sensors in real-world environments. His achievements underscore a dedication to advancing camera-based perception, making his work valuable for students and researchers exploring calibration under constrained motion.
Research Focus
Key Achievements
Top Papers
- 1Self-calibration of stationary non-rotating zooming cameras6 citations · 2014