Guangzu He
Papers
1
Total Citations
4
H-Index
1
About
Guangzu He is a researcher in computer vision and human motion capture, with a focus on developing accessible, high-performance tracking systems. His most notable contribution is the design of a lightweight and scalable visual-inertial motion capture system that leverages fiducial markers, enabling robust, low-cost, and easy-to-deploy full-body tracking without the need for expensive multi-camera setups. This work, published in 2019, has garnered 4 citations and represents a practical step toward democratizing motion capture for applications in animation, sports analysis, and virtual reality. He’s recognized for bridging inertial sensor drift correction with visual landmark tracking, improving accuracy in real-world environments. His research addresses key challenges in human pose estimation, sensor fusion, and real-time performance, making his work relevant to both academic and industrial communities.
Research Focus
Key Achievements
Top Papers
- 1