1 Full Chinese Name, Full English Name and English Abbreviation of the Technical Committee

Full Chinese Name: 机器视觉专业委员会

Full English Name: Technical Committee on Machine Vision

English Abbreviation: TCMV

2 Brief Introduction to the Technical Committee

The rapid development of artificial intelligence has brought significant historical opportunities to machine vision. The Technical Committee on Machine Vision aims to unite and organize researchers, enterprise technical experts and other professionals in machine vision-related fields. Through academic exchanges, technical seminars, achievement docking and other activities, it shares research experience, discusses academic hotspots, analyzes strategic trends, promotes industrial upgrading, and achieves the goal of gathering talents, wisdom and strength. This platform enables outstanding scientific and technological workers in the industry to improve their academic level, expand disciplinary influence, and helps research institutions and universities cultivate talents, lead and promote industry innovation. Ultimately, it enhances the academic influence of machine vision at the national and international levels, and promotes disciplinary development and the transformation of industry-academia-research achievements. The Technical Committee on Machine Vision has been awarded the CSIG Excellent Technical Committee three times and currently has 224 members.

3 Information of the Person in Charge of the Technical Committee

Director:

Lu Huchuan, Dalian University of Technology

Deputy Directors:

Ma Zhanyu, Beijing University of Posts and Telecommunications

Peng Xi, Sichuan University; Cheng Mingming, Nankai University

Secretary-General:

Wang Dong, Dalian University of Technology

4 Contact Person and Contact Information of the Technical Committee

Contact Person: Wang Dong

Contact Email: csig-mv@foxmail.com

5 Representative Achievements

1) Low-Rank Model Theory and Methods for High-Dimensional Complex Data

Core Researchers: Lin Zhouchen, Liu Guangcan, Yin Ming, Yu Yong

Award: Won the First-Class Natural Science Award of CCF Science and Technology Award in 2020

Based on the low-rank nature of high-dimensional complex data in the field of artificial intelligence, this achievement makes several important theoretical discoveries in low-rank model extraction, efficient optimization algorithms and high-dimensional data analysis by using technologies such as low-rank analysis and spectral graph theory. It provides new theoretical tools and technical solutions for the modeling of high-dimensional data.

2) Infrared Polarization Vision Intelligent Perception Technology

Core Researchers: Zhao Yongqiang, Li Ning, Wang Binglu, Xue Jize, Hao Jinglei, Kong Xiangyang, Pan Quan, Cheng Yongmei

Awards: Won the Second-Class China Industry-University-Research Cooperation Innovation Achievement Award in 2019, the Special-Class Shaanxi Higher Education Institution Science and Technology Award in 2020, the First-Class Shaanxi Provincial Patent Award in 2021, etc.

To address the problems of poor anti-interference ability and target recognition ability of existing infrared imaging detection systems, this achievement proposes and studies infrared polarization vision intelligent perception technology. It breaks through key technologies such as split focal plane infrared polarization imaging devices, multi-dimensional image reconstruction, and joint representation and fusion of multi-modal and multi-dimensional information, and develops "China's first uncooled infrared focal plane micro-polarization array detector" and "infrared polarization image analysis software". The relevant research results can effectively solve problems such as target detection in strong interference environments and accurate measurement of workpieces, and have broad application prospects in fields such as military equipment, mining and energy, and industrial manufacturing.