Papers
1
Total Citations
2
H-Index
1
About
Meishan Guo is a researcher focused on the intersection of spatial illumination and computer vision, with a particular emphasis on target recognition technologies. Their most notable contribution, the 2022 paper "Target Recognition Technology in Spatial Illumination Environment Based on Proportional Slope Dynamic Threshold," introduces a novel approach to improving object detection accuracy under varying lighting conditions. By developing a proportional slope dynamic threshold method, Guo addresses a critical challenge in real-world imaging systems—maintaining robust recognition performance when illumination changes rapidly or unevenly. This work has garnered 2 citations, reflecting its emerging relevance in fields such as autonomous navigation, surveillance, and augmented reality. Guo’s research holds practical significance for engineers designing vision systems that must operate reliably in uncontrolled environments, from outdoor robotics to smart lighting applications. While early in their citation trajectory, Guo’s focus on dynamic threshold adaptation marks a promising step toward more resilient visual perception technologies. Their work continues to contribute to the growing body of knowledge on adaptive image processing, offering a foundation for future advances in spatial illumination-aware recognition systems.
Research Focus
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Top Papers
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