Yiheng Cai
Papers
1
Total Citations
3
H-Index
1
About
Yiheng Cai is a researcher specializing in computational imaging and material classification, with a particular focus on leveraging time-of-flight (ToF) camera technologies for advanced optical analysis. Their most-cited work, "Highly transparent material classification using the refractive index, reflectivity, and transmissivity features from an imaging model of a time-of-flight camera" (2023), introduces a novel framework that extracts refractive index, reflectivity, and transmissivity features from ToF imaging models to classify transparent materials—a challenging task in computer vision. This contribution bridges the gap between physical optics and machine learning, offering practical applications in industrial inspection, autonomous systems, and augmented reality. With 3 citations to date, the paper demonstrates early but promising impact, highlighting Cai’s ability to innovate at the intersection of imaging physics and material science. Their work stands out for its rigorous modeling of light-material interactions, providing a foundation for future studies in non-contact material identification. Cai’s research is particularly valuable for students and researchers exploring how depth-sensing cameras can be repurposed beyond traditional ranging tasks, opening new avenues for intelligent perception systems.
Research Focus
Key Achievements
Top Papers
- 1