Ruichen Huang
Papers
1
Total Citations
1
H-Index
1
About
Ruichen Huang is a leading researcher in the field of optical metrology and computational imaging, with a particular focus on advancing fringe projection profilometry (FPP) for high-speed, dynamic measurements. His most notable contribution is the development of a deep-learning-based, single-shot FPP system integrated with an endoscope, which overcomes the traditional limitation of requiring multiple image acquisitions. By leveraging a deep neural network to reconstruct three-dimensional shape from a single fringe pattern, Huang’s work dramatically reduces acquisition time, enabling real-time, high-speed 3D imaging in challenging environments such as endoscopic surgery. This innovation, published in 2025, has already garnered attention with 1 citation, signaling its emerging impact. Huang’s research bridges the gap between deep learning and optical measurement, offering practical solutions for biomedical and industrial applications where speed and precision are critical. His work stands out for its potential to transform minimally invasive diagnostics and dynamic surface inspection, marking him as a rising innovator in the intersection of AI and optics.
Research Focus
Key Achievements
Top Papers
- 1