Sangheon Park
Papers
1
Total Citations
3
H-Index
1
About
Sangheon Park is a researcher in computer vision and human-computer interaction, with a primary focus on 3D data processing and face recognition. His work addresses the challenge of integrating depth information from Time-of-Flight (ToF) cameras with conventional color imagery to enhance recognition systems. Park’s most cited paper, "Registration method between ToF and color cameras for face recognition" (2011), introduces a calibration technique that aligns 3D depth data with 2D RGB images, enabling more robust face recognition under varying pose and lighting conditions. This contribution is significant because 3D shape information overcomes the limitations of traditional 2D methods, which are sensitive to environmental changes. While his citation count is modest, his research has practical implications for fields like robot vision, car navigation, and interactive systems. Park’s work underscores the value of multimodal sensor fusion in advancing real-world computer vision applications.
Research Focus
Key Achievements
Top Papers
- 1Registration method between ToF and color cameras for face recognition3 citations · 2011