Zehui Ji

Papers

Total Citations

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About

Zehui Ji is a researcher specializing in underwater robotics and computer vision, with a focused interest in color model analysis for object recognition in challenging aquatic environments. Her work addresses the critical challenge of how underwater conditions—such as light attenuation, scattering, and color distortion—affect the performance of vision-based systems. In her 2014 studies, Ji systematically evaluated classical illumination-invariant color models for underwater object recognition, providing a comparative framework that helps robotics engineers select optimal color spaces for tasks like autonomous navigation and target identification in competitions. While her most-cited papers have garnered modest citation counts, they represent foundational efforts in a niche but growing field, contributing practical insights for improving robotic perception in real-world underwater settings. Ji’s research bridges the gap between theoretical color science and applied robotics, offering guidelines that enhance the reliability of vision systems in murky, low-visibility conditions. Her work is particularly relevant for teams participating in underwater robotics competitions, where robust object recognition is essential for success.