Jie ZHANG

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Supervisor
Dr Yan Tina Luximon (Chief Supervisor)

Dr Ping Li (Co-supervisor)

Research Title
Precise 3D Children’s Face Reconstruction and Analysis from Images

Research Abstract

An increasing number of face-related products are used in our daily life, such as protective eyewear, respirator or face mask, especially for children. The product fit level is also important to improve the user experience and solve the potential safety problems.  Therefore, before designing theses face-related products, the precise 3D children’s face reconstruction and analysis is highly required in the field ergonomics.

The research objectives consist of three parts: (1) Establishing a 3D Children’s face database; (2) Developing a deep Convolutional Neural Network to realize precise 3D children’s face reconstruction from a single image; (3) Analysing 3D size and shape of face model by age and gender groups and relationships among face dimensions and shape variation for face-related products.

Research Skills

Computer Vision; Colour Science; Data Analysis and Visualization; Machine Learning; Deep Learning

Publications

1. Jie ZhangBeautiful Visualization with Python (ISBN: 978-7-121-38370-0), Publishing House of Electronic Industry, China (2020). (《Python数据可视化之美》)

2. Jie Zhang, Beautiful Visualization with R (ISBN: 978-7-121-36366-5), Publishing House of Electronic Industry, China (2019). (《R语言数据可视化之美》)

3. Shijian Luo,Yufei Zhang, Jie Zhang,  et al.  "A User Biology Preference Prediction Model Based on the Perceptual Evaluations of Designers for Biologically Inspired Design". Symmetry 2020: 12, 1860. (SCIE)

4. Wang, Jingan, Jie Zhang,  et al. "A computer vision-based system for automatic detection of misarranged color warp yarns in yarn-dyed fabric. Part III: yarn layout proofing.The Journal of The Textile Institute (2020): 1-9. (SCI, Co-first Author)

5. Jie Zhang, et al.  "A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part II: warp region segmentation.The Journal of The Textile Institute 110.9 (2019): 1359-1367. (SCI)

6. Jie Zhang, et al. "A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part I: continuous segmentation of warp yarns.The Journal of the Textile Institute 109.5 (2018): 577-584. (SCI)

7. Jie Zhang, et al. "Automatic detection of layout of color yarns of yarn‐dyed fabric. Part 1: Single-system-mélange color fabrics." Color Research and Application 40, no. 6 (2015): 626-636. (SCI)

8. Jie Zhang, et al. "Automatic detection of layout of color yarns of yarn‐dyed fabric. Part 2: Region segmentation of double-system-Mélange color fabric." Color Research and Application 41, no. 6 (2016): 626-635. (SCI)

9. Jie Zhang, et al. "Automatic detection of layout of color yarns of yarn‐dyed fabric. Part 3: Double‐system‐Mélange color fabrics." Color Research and Application 42, no. 2 (2017): 250-260. (SCI)

Journal Review

Color Research and ApplicationMathematical Problems in EngineeringMeasurementApplied Optics; Textile Research  Journal; IEEE Access; The Journal of the Textile Institute

Awards

The prestigious National Science and Technology Progress Award – First Class by the China National Textile and Apparel Council (CNTAC) on 2017

Miscellaneous