详细资料
通讯地址:福建省福州市福州地区大学新区学园路2号 邮编:350108
电子邮箱:xwu@fzu.edu.cn
教育工作经历
2018/09至今, 304永利登录入口 机电工程系/机器人工程专业
2012/08-2018/05,北卡罗莱纳州立大学机械工程硕士、博士
2011/08-2012/08,普渡大学 电子与计算机工程 硕士
2007/09-2011/07,电子科技大学 机械电子工程学院 学士
主要教授课程:微机原理与接口技术、医学数字图像处理
个人简介
吴衔誉,304永利登录入口教授/博导,福建省高层次人才(B类)。长期从事智能计算(光谱/偏振)成像、精密仪器与测量、高速光学成像等领域研究,作为项目负责人承担国家级重点项目课题1项(200万元)和多项国家级、部委和省级科研项目,近五年发表高水平学术论文二十余篇,研制的嵌入式光学成像测量系统与多项科研成果实现应用。担任IEEE Transactions on Circuits and Systems for Video Technology、IEEETransactionson Computational Imaging等高水平期刊审稿人,多次受邀参加国际高水平学术会议并做报告
课题组长期从事精密光学成像与测量仪器、高速光学成像、计算机视觉检测和人工智能等交叉学科方向的研究工作,致力于将人工智能与计算光学成像技术相结合,应用于高速成像、先进制造、智能检测与医学成像等领域。团队以仿生视觉原理为科学探索的起点,发展新型光学传感与计算成像新技术,成功研制多型精密成像与测量仪器设备。
Dr. Wu holds a Ph.D. in Mechanical Engineering from North Carolina State University. He leads a research laboratory focused on advancing the understanding of optical sensing and imaging within precision measurement systems. Dr. Wu's research team is dedicated to the development of cutting-edge optical measurement and imaging systems that integrate hardware and software advancements. His expertise lies in the application of this knowledge to address challenges in non-destructive testing, structural health monitoring, and rapid diagnostics for mechanical systems.
Dr. Wu's recent research has centered around several key areas, including intelligent computational imaging and measurement and bio-inspired intelligent sensing. His work explores innovative approaches to enhance measurement accuracy, optimize imaging techniques, and enable intelligent sensing solutions.
研究方向
1.精密光学成像与测量仪器
2.计算光谱/偏振成像
3.视觉信息检测和人工智能
4.高速光学/红外成像
近五年代表性论文与专利
1.Huang, F., Chen, Y., Wang, X., Wang, S., & Wu, X. (2023). Spectral Clustering Super-Resolution Imaging Based on Multispectral Camera Array.IEEE Transactions on Image Processing, 32, 1257-1271.(CCF-A类, SCI Q1, IF:11.041,Top期刊)
2.Huang, F., Cao R., Lin P., Zhou B., Wu, X. (2023). High-Efficiency Multispectral-Polarization Imaging System using Polarization Camera Array with Notch Filters.IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2023.3328697.(SCIQ1,IF:5.6)
3.Huang F, Lin P, Cao R, Zhou B, Wu X, (2022), Dictionary Learning-and Total Variation-Based High-Light-Efficiency Snapshot Multi-Aperture Spectral Imaging,Remote Sensing, 14, 4115.(SCI Q1,IF:5.349,Top期刊)
4.Wu, X., Zhou, B., Huang, F., Lin, P., & Cao, R. (2022). Super-Resolution Thermal Imaging Using Uncooled Infrared Sensors for Non-Destructive Testing of Adhesively Bonded Joints.IEEE Sensors Journal, 22(14), 14415-14423.(SCI Q1,IF:4.325,Top期刊)
5.Yao, Y., He, Y., Qi, D., Cao, F., Yao, J., Ding, P., ... & Zhang, S. (2021). Single-shot real-time ultrafast imaging of femtosecond laser fabrication.ACS Photonics, 8(3), 738-744.(SCI Q1,IF:7.077,Top期刊)
6.Huang, F., Ke, C., Wu, X., Wang, S., Wu, J., & Wang, X. (2021). Polarization Dehazing Method Based on Spatial Frequency Division and Fusionfor a Far-Field And Dense Hazy Image.Applied Optics, 60(30), 9319-9332.(SCI Q2,IF:1.905)
7.Wu X, Li P, Zhang X, Chen J, Huang F. (2023). Three Dimensional Shape Reconstruction via Polarization Imaging and Deep Learning.Sensors. 23(10):4592.(SCI Q1,IF:3.847)
8.Wu X, Pankow M, Onuma T, Huang H-Y S,Peters K, 2022, Comparison of High-Speed Polarization Imaging Methods for Biological Tissues,Sensors, 22, 8000.(SCI Q1,IF:3.847)
9.Lin Z, Wang W, Li Y, Zhang X, Zhang T, Wang H, Wu X, Huang F, 2023, Design and Experimental Study of a Novel Semi-Physical Unmanned-Aerial-Vehicle Simulation Platform for Optical-Flow-Based Navigation,Aerospace, 10, 183.(SCI Q2,IF:2.660)
10.Huang, F., Ren, H., Wu, X., & Wang, P. (2021). Flexible Foveated Imaging Using a Single Risley-Prism Imaging System.Optics Express, 29(24), 40072-40090.(SCI Q1,IF:3.833,Top期刊)
11.Shen, Y., Lin, W., Wang, Z., Li, J., Sun, X., Wu, X., ... & Huang, F. (2021). Rapid Detection of Camouflaged Artificial Target Based on Polarization Imaging and Deep Learning.IEEE Photonics Journal, 13(4), 1-9.(SCI Q2,IF:2.250)
12.基于ARM密集多路步进电机控制系统的信号和电源隔离系统(202111059985.1)
13.分焦平面式高光通量仿生多光谱偏振成像探测器(202310032934.2)
14.高光通量仿生多孔径多光谱偏振成像系统(202310032951.6)
15.一种橡胶切粒系统及其控制方法(202110840299.1)
16.一种用于无人机视觉组合导航测试的半实物仿真系统(202011316484.2)
指导硕、博士生研究方向
(1)精密光学成像与测量仪器研发
(2)仿生智能精密仪器设备与嵌入式系统研发
(3)基于人工智能(AI)的机器视觉信息处理技术
(4)计算机视觉与智能控制技术
指导优秀本科毕业设计(论文)、优秀研究生学位论文6人,指导优秀硕士毕业生2人。
指导硕士研究生2人获国家奖学金。
博士生招生专业方向:机械电子工程、智能机器人及其应用技术、智能传感与诊断
毕业生就业:海康威视、比亚迪、星网锐捷、宁德时代、亿联网络等;
毕业生深造:哈尔滨工业大学、华南理工大学、厦门大学、中国科学院大学、中国科学院沈阳自动化研究所、湖南大学等。