![]() |
||||||||||||
Ö÷Ò³ | Main Page | ||||||||||||
|
|
|||||||||||
Wentao
Li's Homepage ÖÐÎÄ | English
|
|
|
||||||||||
|
![]() Li,Wentao
MSc., Associate Professor Robot Vision Group
State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Nanta Street 114 110016 Shenyang P. R. China Tel: +86 24 23970193
Fax: +86 24 23970021 liwentao@sia.cn Office: R331 |
|
Wentao Li, MSc., Associate Professor Research interests£º machine vision and applications
|
|
||||||||
|
|
|||||||||||
|
|
Brief Bio.
Wentao Li received his B.S. degree at Chengdu University of
Information Technology, P. R. China, in 2008. and M.S. degree in Shenyang Institute of Automation, Chinese Academy of Sciences, in 2011. Currently he is a research fellow in Shenyang Institute of Automation, Chinese Academy of Sciences. His research interests include machine vision, Video surveillance and their applications.
|
||||||||||
|
|
|||||||||||
|
Publications£º
1) Jiandong Tian, Liangqiong Qu, Huijie Fan, Wentao Li, Yandong Tang,"Evaluation of shadow features", IET Computer Vision, Volume: 12, Issue: 1, 2018, Pages: 95-103 2) Zhen Zhang,Wei Huang, Wentao Li, and Jiandong Tian, "Illumination-based and Device-independent Imaging Model and Spectral Response Functions", IEEE CYBER 2017 3) "Detection and fault diagnosis of power transmission line in infrared image", IEEE CYBER 2015 4) "A vision-based system for power transmission facilities detection", ICAMMM 2013 |
|
||||||||||
|
|
|||||||||||
|
R&D
Projects:
1) Bioprinting Technology and Equipment: robot vision 2018.01-2021.12 Project Funding: Chinese Academy of Sciences 2) Visual Servo System for a industrial equipment 2018.01-2020.12 Project Funding: Industrial Society 3) Machine vision system for industrial applications 2016.01-2017.12 4) Fine robot teleoperation and human-computer interactive control system 2012.01-2014.12 Project Funding: The Ministry of Science and Technology of P.R. China 5£©The system of automatic early forest smoke/fire detection and alarming 6) Vedio based fault detection system of High Voltage Transmission Lines |
|||||||||||
|
|
|
|
|||||||||
|
||||||||||||
|
|
|
|
|||||||||
|