Lei-Hua Ge
Papers
1
Total Citations
5
H-Index
1
About
Lei-Hua Ge is a researcher whose work bridges computer vision and robotics, with a particular focus on color recognition and illumination invariance in dynamic environments. His most cited paper, "Illumination invariant color model selection based on genetic algorithm in robot soccer" (2010), introduces a novel approach to color recognition for semi-autonomous robot soccer. By defining a new illumination invariant color space based on the dichromatic reflection model, Ge addresses a critical challenge in robotics: maintaining reliable color detection under varying lighting conditions. His innovative use of genetic algorithms to select the most discriminating color models from multidimensional spaces demonstrates a sophisticated integration of evolutionary computation and computer vision. While his citation count of 5 reflects focused impact, the work contributes meaningfully to the practical deployment of vision systems in competitive robotics, where robust color segmentation is essential for object tracking and decision-making. Ge's research offers valuable insights for students and researchers working on vision-based autonomous systems, particularly those tackling real-world lighting variability in robotic applications.
Research Focus
Key Achievements
Top Papers
- 1