Papers
5
Total Citations
77
H-Index
3
About
Chao Zuo is a leading figure in optical metrology and computational imaging, whose work has fundamentally advanced high-speed, high-precision 3D shape measurement. His research centers on fringe projection profilometry (FPP), speckle projection profilometry, and single-photon imaging, with a focus on overcoming the critical trade-offs between speed, accuracy, and robustness in dynamic environments. Zuo’s most cited work, a 2017 paper on a bi-frequency multi-view system (57 citations), established a benchmark for real-time 3D sensing. He has since pioneered motion-resistant techniques, such as mrPCA-PSP (2025), which uses principal component analysis to eliminate motion artifacts in phase-shifting profilometry, and deep learning-enhanced single-shot methods that combine spatial multiplexing with transformer-based phase retrieval. His contributions extend to adaptive filtering for single-photon 3D imaging, pushing the limits of photon efficiency and depth precision. With a citation trajectory that includes recent high-impact publications, Zuo’s innovations are directly enabling next-generation applications in industrial inspection, robotics, and human-computer interaction, making him a pivotal researcher in the field of structured light 3D imaging.
Research Focus
Key Achievements
Top Papers
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