What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Computer vision
Chao Zuo focuses on Optics, Phase retrieval, Phase, Structured-light 3D scanner and Artificial intelligence.
His work deals with themes such as Digital image processing, Fourier transform and Solver, which intersect with Optics.
The various areas that he examines in his Phase retrieval study include Geometrical optics, Coherence time, Frequency domain and Statistical physics.
His Absolute phase study in the realm of Phase connects with subjects such as Wigner distribution function.
The Structured-light 3D scanner study combines topics in areas such as Pulse-width modulation, Frame rate, Robustness and Projector.
His Artificial intelligence study incorporates themes from Lens, Simulated annealing and Computer vision.
His most cited work include:
- Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review (307 citations)
- Phase shifting algorithms for fringe projection profilometry: A review (227 citations)
- High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection (226 citations)
What are the main themes of his work throughout his whole career to date?
Optics, Phase, Phase retrieval, Artificial intelligence and Computer vision are his primary areas of study.
His Optics research is multidisciplinary, incorporating perspectives in Fourier transform and Structured-light 3D scanner.
His biological study spans a wide range of topics, including High dynamic range, Frame rate, Light intensity, Projector and Robustness.
His research in the fields of Absolute phase overlaps with other disciplines such as Transfer function.
The Phase retrieval study which covers Light field that intersects with Geometrical optics.
His work carried out in the field of Artificial intelligence brings together such families of science as Profilometer and Calibration.
He most often published in these fields:
- Optics (69.42%)
- Phase (46.05%)
- Phase retrieval (38.14%)
What were the highlights of his more recent work (between 2019-2021)?
- Optics (69.42%)
- Artificial intelligence (33.33%)
- Computer vision (28.52%)
In recent papers he was focusing on the following fields of study:
Chao Zuo mainly focuses on Optics, Artificial intelligence, Computer vision, Phase retrieval and Phase.
While working in this field, Chao Zuo studies both Optics and Materials science.
His Artificial intelligence research incorporates themes from Absolute phase and Structured-light 3D scanner.
His work in Computer vision addresses subjects such as Fringe projection profilometry, which are connected to disciplines such as Calibration, 3d geometry and Coding.
The study incorporates disciplines such as Phase imaging, Division by zero, Computation and Poisson's equation in addition to Phase retrieval.
His Phase research is multidisciplinary, incorporating elements of Deconvolution, Algorithm and High dynamic range.
Between 2019 and 2021, his most popular works were:
- Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement (70 citations)
- Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry (64 citations)
- Resolution Analysis in a Lens-Free On-Chip Digital Holographic Microscope (50 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Artificial intelligence
- Computer vision
His primary areas of investigation include Optics, Artificial intelligence, Phase retrieval, Computer vision and Deep learning.
His study connects Structured-light 3D scanner and Optics.
His Artificial intelligence study combines topics in areas such as Phase, Surface and Standard model.
His Phase study combines topics from a wide range of disciplines, such as Algorithm, Fourier transform and High dynamic range.
Chao Zuo works mostly in the field of Phase retrieval, limiting it down to topics relating to Projection and, in certain cases, Electronic engineering, Structured light and Field of view.
He combines subjects such as Artificial neural network, Convolutional neural network and Reflectivity with his study of Computer vision.
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