Individual Resume

Jing Jin, male, Doctor, lecturer, master tutor, Director of Laboratory Center, School of Computer and Information Science, Hefei University of Technology. In 2008, he graduated from the School of Instrument Science and Optoelectronic Engineering, Hefei University of Technology with a bachelor's degree. In 2014, he graduated from the School of Engineering Science of the University of Science and Technology of China with a doctorate degree. His main research areas include: computer vision perception, machine vision measurement, visual SLAM, etc. American Institute of Electronic and Electrical Engineers (IEEE) member, Optical Society of America (OSA) member, presided over and participated in the National Natural Science Foundation, Anhui Province Natural Science Foundation, Anhui Province science and technology major projects. IEEE Transactions on Biomedical Engineering, Applied Optics, Journal of the Optical Society of America A, Sensors, More than 10 papers have been published in SPIE and other international journals and conferences, and 2 invention patents have been obtained.

Since joining Hefei University of Technology in September 2017, I have been engaged in electronic information engineering, electronic information science and technology, Internet of Things engineering and other majors. Teaching of professional courses such as "Sensor Technology", "Robot Innovation Education", "Robot Vision and Perception" and guiding practical courses such as "Computer and Information Innovation Practice" and "Comprehensive Design of measurement and control Direction". For many times, I have guided students to win prizes in national competitions such as "National College Students Electronic Design Competition", "National College Students Intelligent Car Competition", "National College Students Robot Competition -RoboMaster" and "National College Students Computer Ability Challenge".

Research Focus

1. Visual SLAM technology

This direction focuses on the research of instant robot positioning and environmental map construction based on vision sensors, including image target detection, image feature extraction, pose estimation, dense point cloud map construction, semantic map construction, etc., presided over more than 10 projects of Anhui Natural Science Foundation, and authorized 2 invention patents for research results.

2. 3D visual perception technology

This direction focuses on the research of 3D object detection based on deep learning methods, including visual object segmentation, 3D object recognition, 3D object geometric measurement, etc. He has presided over more than 10 projects of Anhui Natural Science Foundation and published many papers in JOSA, IEEE TBE, Computer engineering and other journals.

Paper Publications

1. Jin J, Jiang X, Yu C, et al. Dynamic visual simultaneous localization and mapping based on semantic segmentation module[J]. Applied Intelligence, 2023: 1-15.

2. Liu X, Yang X, Jin J, et al. Detecting pulse wave from unstable facial videos recorded from consumer-level cameras: A disturbance-adaptive orthogonal matching pursuit[J]. IEEE Transactions on Biomedical Engineering, 2020, 67(12): 3352-3362.

3. Wu X, Yang X, Jin J, et al. PCA-based magnification method for revealing small signals in video[J]. Signal, Image and Video Processing, 2018, 12(7): 1293-1299.

4. Liu X, Yang X, Jin J, et al. Self-adaptive signal separation for non-contact heart rate estimation from facial video in realistic environments[J]. Physiological measurement, 2018, 39(6): 06NT01.

5. Jin J, Zhang L, Wang H, et al. Precise calibration for the coordinates of surgical needle's tip based on transform invariant matrix and spherical constraints[C]//2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, 2017: 433-436.

6. Jin J, Zhao L, Xu S. High-precision rotation angle measurement method based on monocular vision[J]. JOSA A, 2014, 31(7): 1401-1407.

7. Jin J, Li X. Efficient camera self-calibration method based on the absolute dual quadric[J]. JOSA A, 2013, 30(3): 287-292.

8. Jin J, Li X, Zhu L, et al. A method of attitude measurement of the calibration target[C]//Modern Technologies in Space-and Ground-based Telescopes and Instrumentation. SPIE, 2010, 7739: 999-1007.