Dung Duc Nguyen
Papers
1
Total Citations
5
H-Index
1
About
Dung Duc Nguyen is a researcher in computer vision and human-computer interaction, with a particular focus on hand detection and gesture recognition. His most cited work, "Dual hand extraction using skin color and stereo information" (2009), introduces a robust method for isolating hand positions by combining skin color segmentation with stereo depth cues. This approach addresses a critical challenge in enabling natural, touchless interaction between humans and machines, laying groundwork for applications in robot vision and gesture-based control. While his citation count is modest, with this paper garnering 5 citations, the work represents a practical contribution to the field, demonstrating how multi-modal sensory data can improve the reliability of hand tracking in real-world environments. Nguyen’s research underscores the importance of integrating color and depth information to overcome limitations of single-modality systems, such as varying lighting or background clutter. His efforts contribute to the broader goal of making human-computer interfaces more intuitive and accessible, particularly in robotics and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1Dual hand extraction using skin color and stereo information5 citations · 2009