Smart Computational Imaging (SCI) Lab
智能计算成像实验室

Personal Resume
20210916姓名钱佳铭性别
出生年月1995.02邮箱

jiaming_qian@njust.edu.cn

学历博士生电话

18751966162

学位工学通讯地址南京理工大学电光学院B501
教育经历

   2014.09-2017.06    图片1.jpg西安工业大学 测控技术与仪器(本)

   2019.09-至今          图片2.png 南京理工大学 光学工程(硕博)   

荣誉获奖


  1. 第七届中国国际“互联网+”大学生创新创业大赛 全国金奖(项目负责人);

  2. 第十四届中国研究生电子设计竞赛 全国一等奖、最佳路演奖(项目负责人)

  3. 2019国际光学与光子学会议最佳学生报告奖(全球第二名);

  4. 2021年全国光学与光学工程博士生学术联赛全国百强;

  5. 2019西部光子学会议“优秀学术论文奖”;

  6. 光学前沿在线:光学成像与显示会议(2020)论文海报最具人气奖;

  7. 南京理工大学“校长奖章”;

  8. 南京理工大学“瑞华杯大学生年度人物”;

  9. 南京理工大学“优秀博士培养对象”;

  10. 南京理工大学“优秀研究生”;

  11. 南京理工大学“优秀研究生团队”;

  12. 南京理工大学电光学院“金质奖章”;

  13. 第十六届“挑战杯”全国大学生课外学术科技作品竞赛省一等奖、全国三等奖(项目负责人)

  14. 第十二届“挑战杯”中国大学生创业计划竞赛 江苏省三等奖(项目负责人)

  15. 2018国际光学与光子学会议ORBBEC 3DSENSOR APPLICATION DESIGN COMPETITION 三等奖(项目负责人)

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奖学金

         

    2017至今 南理工学业一等奖学金

    2019 南理工“新城市教育基金奖”

    2020 博士研究生国家奖学金

    2021 航天科技CASC奖学金

   

研究方向

         

   快速三维光学三维传感、荧光超分辨显微成像、计算成像   


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发表论文
  1. J. Qian, T. Tao, S. Feng, Q. Chen, and C. Zuo*,“Motion-artifact-free dynamic 3D shape measurement with hybrid Fourier-transformphase-shifting profilometry,” Opt. Express 27, 2713–2731 (2019).(光学TOP期刊IF: 3.894)

    J. Qian, S. Feng, T. Tao, Y. Hu, K. Liu, S. Wu, Q.Chen, and C. Zuo*, “High-resolution real-time 360° 3D model reconstruction of ahandheld object with fringe projection profilometry,” Opt. Lett. 44,5751–5754 (2019). (光学TOP期刊IF:3.776)

    J. Qian, S. Feng, Y. Li, T. Tao, J. Han, Q. Chen,and C. Zuo*, “Single-shot absolute 3D shape measurement withdeep-learning-based color fringe projection profilometry,” Opt. Lett. 45,1842–1845 (2020). (光学TOP期刊IF:3.776ESI高被引、热点论文2020年度中国机构学者在光学期刊发表的高价值论文TOP100(第22名))

    J. Qian, S. Feng, T. Tao, Y. Hu, Y. Li, Q. Chen,and C. Zuo*, “Deep-learning-enabled geometric constraints and phase unwrappingfor single-shot absolute 3D shape measurement,” APL Photonics 5, 046105(2020). (JCR光学一区,IF: 5.672ESI高被引、热点论文入选APL Photonics virtual special issue on Photonics and AI2020年度中国机构学者在光学期刊发表的高价值论文TOP100(第20名))

  2. J. Qian, S. Feng, M. Xu, T. Tao, Y. Shang, Q. Chen,and C. Zuo*, “High-resolution real-time 360° 3D surface defect inspection withfringe projection profilometry,” Opt. Lasers Eng. 137, 106382 (2021). (JCR光学一区,IF: 4.836)

  3. Y. Li§, J. Qian§, S. Feng, Q. Chen, and C. Zuo*, “Deep-learning-enableddual-frequency composite fringe projection profilometry for single-shotabsolute 3D shape measurement,” Opto-Electronic Adv. (光学TOP期刊SCI一区已录用,待见刊,IF: 9.636受邀期刊封面)

  4. C. Zuo*§, J. Qian§, S. Feng, W. Yin, Y. Li, P. Fan, K. Qian*, and Q. Chen*, “Deep learning in optical metrology: a review,” Light. Sci. Appl. (光学TOP期刊SCI一区IF: 17.782期刊封面)

  5. J. Qian, T. Tao, S. Feng, Q. Chen, and C. Zuo*,“Robust dynamic 3D shape measurement with hybrid fourier-transformphase-shifting profilometry,” in International Conference on Image andGraphics, (Springer, 2019), pp. 122–133.

  6. J. Qian, S. Feng, T. Tao, Y. Hu, Q. Chen, and C.Zuo*, “Real-time 3D point cloud registration,” in Seventh InternationalConference on Optical and Photonic Engineering (icOPEN 2019), vol. 11205(International Society for Optics and Photonics, 2019), p. 112052D. (2019国际光学与光子学会议最佳学生报告奖)

  7. J. Qian*, S. Feng, Y. Li, T. Tao, Q. Chen, and C.Zuo, “Fast 3D surface defect detection with fringe projection,” in OpticalMetrology and Inspection for Industrial Applications VII, vol. 11552(International Society for Optics and Photonics, 2020), p. 1155208. (首届三维光学传感与应用国际论坛邀请报告)

  8. J. Qian*, S. Feng, Y. Li, T. Tao, Q. Chen, and C.Zuo, “Color deep learning profilometry for single-shot 3D shape measurement,”in Fourth International Conference on Photonics and Optical Engineering, vol.11761 (International Society for Optics and Photonics, 2021), p. 1176106.

  9. J. Qian*, S. Feng, Y. Li, T. Tao, Q. Chen, and C.Zuo, “Color deep learning profilometry for single-shot 3D shape measurement,”in Fourth International Conference on Photonics and Optical Engineering, vol.11761 (International Society for Optics and Photonics, 2021), p. 1176106.

  10. J. Qian*, S. Feng, Y. Li, T. Tao, Q. Chen, and C.Zuo, “Color deep learning profilometry for single-shot 3D shape measurement,”in Fourth International Conference on Photonics and Optical Engineering, vol.11761 (International Society for Optics and Photonics, 2021), p. 1176106.

专利


  1. 一种基于多视角的全自动多模态三维彩色测量方法(已授权,授权号:CN 109579741 B)

  2. 一种基于条纹投影的实时三维面型缺陷检测方法(受理,专利号:202010275461.5)

  3. 一种高精度动态实时360度三维点云获取方法(受理,专利号:201910799747.0)

  4. 基于深度学习的单帧彩色条纹投影相位展开方法(受理,专利号:202010194707.6)

  5. 基于条纹投影的双目双频互补三维面型测量方法(受理,专利号:202110743612.X)