Sooyeon Kim
Papers
1
Total Citations
3
H-Index
1
About
Sooyeon Kim is a researcher whose work lies at the intersection of computer vision, 3D imaging, and biometrics, with a particular focus on enhancing face recognition systems. Her key contributions center on the integration of Time-of-Flight (ToF) depth cameras with conventional color cameras, addressing the critical challenge of sensor registration to fuse 2D and 3D data. In her most cited work, "Registration method between ToF and color cameras for face recognition" (2011), she developed techniques to align depth and color imagery, leveraging the robustness of 3D facial shape information against pose and lighting variations—a significant improvement over traditional 2D methods. This foundational research, cited 3 times, underscores the practical applications of 3D data in fields like robot vision, car navigation, and human-computer interaction. Kim’s work highlights the potential of multimodal sensor fusion to advance biometric security and interactive systems, offering a pathway toward more reliable and adaptable face recognition technologies.
Research Focus
Key Achievements
Top Papers
- 1Registration method between ToF and color cameras for face recognition3 citations · 2011