World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
38
Citations
7060
World Ranking
718
National Ranking
248

Engineering and Technology

D-Index
39
Citations
7426
World Ranking
7613
National Ranking
1370

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Shijie Feng is affiliated with Nanjing University of Science and Technology in China. Their research broadly covers the fields of Engineering and Computer Science, with significant work in the subfields of Computer Vision and Pattern Recognition, Media Technology, Mechanical Engineering, Instrumentation, and Biomedical Engineering.

The primary focus of their research lies in optical measurement and interference techniques, supported by contributions to image processing techniques and applications, advanced measurement and metrology techniques, advanced vision and imaging, advanced optical sensing technologies, 3D surveying and cultural heritage, as well as industrial vision systems and defect detection.

Shijie Feng has published extensively in notable venues, including:

  • Optics and Lasers in Engineering
  • Optics Express
  • Default Digital Object Group
  • OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)
  • SSRN Electronic Journal

Frequent co-authors in their collaborative research efforts include Chao Zuo, Qian Chen, Jiaming Qian, Wei Yin, and Yixuan Li.

Among recent publications, notable papers include:

  • "Calibration of fringe projection profilometry: A comparative review," 2021, Optics and Lasers in Engineering
  • "Generalized framework for non-sinusoidal fringe analysis using deep learning," 2021, Photonics Research
  • "Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry," 2020, Optics Letters
  • "Microscopic fringe projection profilometry: A review," 2020, Optics and Lasers in Engineering
  • "Deep learning in optical metrology: a review," 2022, Light Science & Applications

These publications address advanced techniques in fringe projection profilometry, deep learning applications to optical metrology, and methods for 3D shape measurement.

Best Publications

  • Phase shifting algorithms for fringe projection profilometry: A review

    Chao Zuo;Shijie Feng;Lei Huang;Tianyang Tao

  • High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection

    Chao Zuo;Chao Zuo;Qian Chen;Qian Chen;Guohua Gu;Shijie Feng

  • Calibration of fringe projection profilometry: A comparative review

    Shijie Feng;Chao Zuo;Liang Zhang;Tianyang Tao

  • Micro Fourier Transform Profilometry ($μ$FTP): 3D shape measurement at 10,000 frames per second

    Chao Zuo;Tianyang Tao;Shijie Feng;Lei Huang

  • High-speed three-dimensional profilometry for multiple objects with complex shapes.

    Chao Zuo;Qian Chen;Guohua Gu;Shijie Feng

  • Microscopic fringe projection profilometry: A review

    Yan Hu;Qian Chen;Shijie Feng;Chao Zuo

  • Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry

    Jia Ming Qian;Shijie Feng;Yixuan Li;Tianyang Tao

  • General solution for high dynamic range three-dimensional shape measurement using the fringe projection technique

    Shijie Feng;Shijie Feng;Yuzhen Zhang;Yuzhen Zhang;Qian Chen;Qian Chen;Chao Zuo

  • High dynamic range 3D measurements with fringe projection profilometry: a review

    Shijie Feng;Liang Zhang;Chao Zuo;Tianyang Tao

  • Robust dynamic 3-D measurements with motion-compensated phase-shifting profilometry

    Shijie Feng;Chao Zuo;Tianyang Tao;Yan Hu

  • Real-time 3-D shape measurement with composite phase-shifting fringes and multi-view system

    Tianyang Tao;Qian Chen;Jian Da;Shijie Feng

  • Optimized pulse width modulation pattern strategy for three-dimensional profilometry with projector defocusing.

    Chao Zuo;Qian Chen;Shijie Feng;Fangxiaoyu Feng

  • Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement

    Jiaming Qian;Shijie Feng;Tianyang Tao;Yan Hu

  • Fringe pattern analysis using deep learning

    Shijie Feng;Qian Chen;Guohua Gu;Tianyang Tao

  • Temporal phase unwrapping using deep learning

    Wei Yin;Qian Chen;Shijie Feng;Tianyang Tao

  • High-speed 3D shape measurement using the optimized composite fringe patterns and stereo-assisted structured light system.

    Wei Yin;Shijie Feng;Tianyang Tao;Lei Huang

  • Composite fringe projection deep learning profilometry for single-shot absolute 3D shape measurement.

    Unknown

  • Generalized framework for non-sinusoidal fringe analysis using deep learning

    Shijie Feng;Chao Zuo;Liang Zhang;Wei Yin

  • High-speed high dynamic range 3D shape measurement based on deep learning

    Liang Zhang;Qian Chen;Chao Zuo;Shijie Feng

  • Robust and efficient multi-frequency temporal phase unwrapping: optimal fringe frequency and pattern sequence selection.

    Minliang Zhang;Qian Chen;Tianyang Tao;Shijie Feng

  • Micro deep learning profilometry for high-speed 3D surface imaging

    Shijie Feng;Chao Zuo;Wei Yin;Guohua Gu

  • A new microscopic telecentric stereo vision system - Calibration, rectification, and three-dimensional reconstruction

    Yan Hu;Qian Chen;Shijie Feng;Tianyang Tao

Frequent Co-Authors

Chao Zuo
Chao Zuo Nanjing University of Science and Technology
Qian Chen
Qian Chen Nanjing University of Science and Technology
Lei Huang
Lei Huang Sichuan University
Anand Asundi
Anand Asundi d'Optron Pte
Qian Kemao
Qian Kemao Nanyang Technological University
Song Zhang
Song Zhang Purdue University West Lafayette

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