Jiaming Qian
Papers
2
Total Citations
7
H-Index
1
About
Jiaming Qian is a rising researcher in the field of optical metrology, specializing in high-speed, high-precision 3D shape measurement. His work primarily focuses on overcoming the fundamental trade-off between measurement speed and accuracy in fringe projection profilometry (FPP). Qian’s major contributions lie in developing robust algorithms for dynamic scenes. His most cited work, “mrPCA‐PSP: Robust Motion‐Resistant Phase‐Shifting Profilometry Based on Principal Component Analysis” (2025, 6 citations), introduces a novel method to suppress motion-induced artifacts in multi-shot phase-shifting, a critical challenge for real-world applications. Building on this, his paper “Deep Learning Enhanced Dynamic 3-Dimensional Shape Measurement Using Single-Shot Spatial Multiplexing and Transformer-Based Phase Retrieval” (2025, 1 citation) pushes the boundary further by integrating deep learning with single-shot techniques, aiming for real-time, high-fidelity 3D imaging. Though early in his career, Qian’s work is already influencing fields like industrial inspection and human-computer interaction, demonstrating a clear trajectory toward enabling robust, practical 3D sensing in dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 2