JI Yi-jun
Papers
1
Total Citations
24
H-Index
1
About
JI Yi-jun is a leading researcher in computer vision and 3D reconstruction, with a particular focus on tackling the challenging problem of scanning transparent and specular objects. Her most-cited work, "Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor" (2017, 24 citations), addresses a critical limitation of modern range sensors, which fail to capture accurate depth from transparent surfaces. By fusing depth data with silhouette information, she developed a novel method that enables high-quality 3D reconstruction of transparent objects using affordable RGB-D sensors—a breakthrough with significant implications for industrial measurement, virtual reality, and robotics. This work exemplifies her ability to bridge the gap between sensor limitations and practical applications. Her research contributions have been recognized for their originality and impact, advancing the field's understanding of how to handle difficult materials in 3D scanning. For students and researchers, her work offers a compelling example of how creative algorithmic solutions can overcome fundamental hardware constraints, opening new possibilities for computer vision in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1