Arash Samani
Papers
2
Total Citations
12
H-Index
2
About
Arash Samani is a researcher specializing in computer vision, robotic imaging systems, and human-computer interaction. His work focuses on improving image quality assessment and developing innovative tools for aerial surveillance and search-and-rescue operations. Samani introduced TDMEC, a novel metric for evaluating color image quality in vision systems, addressing distortions caused by additive Gaussian noise and color component noise during image acquisition—a critical challenge for real-time robotic applications. This foundational work has garnered 9 citations, establishing his expertise in image quality analysis. In a notable contribution to human-robot interaction, Samani developed a "hands-free" aerial border surveillance system using head-mounted eye tracking technology. This innovative approach, detailed in his 2018 paper (3 citations), enables operators to control surveillance drones through gaze, significantly enhancing efficiency in search-and-rescue missions and border security operations. By combining computer vision with intuitive human-machine interfaces, Samani's research demonstrates practical applications that bridge the gap between advanced imaging techniques and real-world emergency response needs.
Research Focus
Key Achievements
Top Papers
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- 2