Thien Cong Pham

Papers

Total Citations

H-Index

About

Thien Cong Pham is a researcher in computer vision and human-computer interaction, with a focus on hand tracking and gesture recognition. His most-cited work, "Dual hand extraction using skin color and stereo information" (2009, 5 citations), introduces a method that combines skin color detection with stereo depth cues to robustly isolate hand positions—a critical step for enabling posture and gesture analysis in robotic and interactive systems. This contribution addresses the challenge of reliable hand segmentation in cluttered environments, laying groundwork for more natural human-machine interfaces. While his citation count reflects a niche but foundational impact, Pham’s work demonstrates a practical approach to integrating multimodal sensory data for real-time applications. His research is particularly relevant for students and engineers developing vision-based control systems, offering a straightforward yet effective technique that balances computational efficiency with accuracy. By bridging skin color and stereo information, Pham highlights the value of sensor fusion in overcoming limitations of single-modality methods, making his work a useful reference for those entering the field of interactive robotics and gesture-driven user interfaces.