Shijie Feng
Papers
1
Total Citations
6
H-Index
1
About
Shijie Feng is a leading researcher in optical metrology and 3D imaging, with a core focus on advancing phase-shifting profilometry (PSP) for dynamic and high-precision shape measurement. His major contribution lies in tackling one of the field’s most persistent challenges: motion-induced artifacts in multi-shot fringe projection systems. Feng’s landmark work, "mrPCA‐PSP: Robust Motion‐Resistant Phase‐Shifting Profilometry Based on Principal Component Analysis" (2025), introduces a novel framework that leverages principal component analysis to suppress phase errors caused by object motion, enabling accurate 3D reconstruction even in dynamic scenes. This approach has already garnered 6 citations shortly after publication, signaling its immediate impact. By blending robust statistical methods with classical optical techniques, Feng has opened new pathways for real-time, high-resolution 3D sensing in applications ranging from industrial inspection to biomedical imaging. His work is distinguished by its practical robustness and theoretical elegance, making him a rising authority in the intersection of computational imaging and metrology. For students and researchers, Feng’s research exemplifies how algorithmic innovation can overcome fundamental hardware limitations in optical measurement systems.
Research Focus
Key Achievements
Top Papers
- 1