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    FMVIP 2022 - 2022 2nd International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2022)

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    Category machine vision; image processing; 3D vision;

    Deadline: September 20, 2022 | Date: November 18, 2022-November 20, 2022

    Venue/Country: Chengdu, China

    Updated: 2022-08-09 11:15:03 (GMT+9)

    Call For Papers - CFP

    2022 2nd International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2022)

    Nov. 18-20, 2022 | Chengdu, China

    2022 2nd International Conference on Frontiers of Machine Vision and Image Processing (FMVIP 2022) is joint conference of CCISP 2022,which is co-organized by Sichuan University and Asia Pacific Institute of Science and Engineering (APISE), technical sponsored by IEEE Communication Society Chengdu Chapter and School of Electronic and Information Engineering, Shanghai University of Electric Power, and media supported by MDPI-Entropy and Journal of Electronics and Information Technology.

    FMVIP 2022 is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference. Join key researchers and established professionals in the field of Frontiers of Machine Vision and Image Processing as they assess the current state-of-the-art and roadmap crucial areas for future research.

    ●Publication & Indexing

    *All accepted and presented papers will be included into Conference Proceedings of CCISP 2022 (ISBN: 978-1-6654-5959-4), The Conference Proceedings will be submitted to IEEE Xplore and submitted to EI Compendex, Scopus, Thomson Reuters (WoS) and other databases for review and indexing. *IEEE is the copyright holder of the proceedings. The copyright of each paper should be transferred to IEEE.

    Conference proceeding will be online published.

    Selected papers with great extension will be recommended to publish in Selected papers with extension can be recommended for publication in special issue of MDPI-Entropy (ISSN 1099-4300), This special issue belongs to the section "Signal and Data Analysis".


    Prof. Geoffrey Li, Imperial College London, UK

    Dr. Geoffrey Ye Li is the Chair Professor in Wireless Systems in Department of EEE, Imperial College London. He is currently focusing on machine learning and statistical signal processing for wireless communications. His research topics in the past couple decades include machine learning for wireless signal detection and resource allocation, cognitive radios, cross-layer optimisation for spectrum- and energy-efficient wireless networks, OFDM and MIMO techniques for wireless systems, and blind signal processing. More about his research work can be found at his Google Scholar page. Dr. Geoffrey Ye Li was awarded IEEE Fellow for his contributions to signal processing for wireless communications in 2005.

    Prof. Shahram Latifi, University of Nevada, Las Vegas, USA

    Shahram Latifi, an IEEE Fellow, received the Master of Science and the PhD degrees both in Electrical and Computer Engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently a Professor of Electrical Engineering at the University of Nevada, Las Vegas. Dr. Latifi is the co-director of the Center for Information Technology and Algorithms (CITA) at UNLV. He has designed and taught undergraduate and graduate courses in the broad spectrum of Computer Science and Engineering in the past four decades. He has given keynotes and seminars on machine learning/AI and IT-related topics all over the world.

    Prof. Xinguo Yu, Central China Normal University, China

    Professor Yu Xinguo is the dean of CCNU Wollongong Joint Institute and a professor of National Engineering Research Center for E-Learning at Central China Normal University, Wuhan, China, senior member of both IEEE and ACM, and an adjunct professor of University of Wollongong, Australia. He is the chair of Hubei Society of Artificial Intelligence in Research and Education. He received B.Sc. degree in Mathematics from Wuhan University of Technology, M. Eng degree from Huazhong University of Science and Technology, another M. Eng. degree from Nanyang Technological University, Singapore and Ph.D. degree in Computer Science from National University of Singapore. His current research mainly focuses on intelligent educational technology, educational robotics, multimedia analysis, computer vision, and machine learning.

    Peter Han Joo Chong, Auckland University of Technology, New Zealand

    Professor Peter Han Joo Chong is the Associate Head of School (Research) at the School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand. Between 2016 and 2021, he was the Head of Department of Electrical and Electronic Engineering at AUT. He received the B.Eng. (with distinction) in Electrical Engineering from the Technical University of Nova Scotia, Canada, in 1993, and the M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of British Columbia, Canada, in 1996 and 2000, respectively. He has visited Tohoku University, Japan, as a Visiting Scientist in 2010 and Chinese University of Hong Kong (CUHK), Hong Kong, between 2011 and 2012. He is currently an Adjunct Professor at the Department of Information Engineering, CUHK. He is a Fellow of the Institution of Engineering and Technology (FIET), UK.

    Prof. Songtao Guo, Chongqing Univerity, China

    Songtao Guo is a professor and doctoral supervisor of The State University of New York at Stony Brook. Chairman of ACM Chongqing Branch, chairman of CCF YOCSEF Chongqing, senior member of IEEE/ACM, vice Dean of School of Computer Science, Chongqing University. He received his B.S., M.S. and Ph.D. degrees in computer Science and Technology from Chongqing University in 1999, 2003 and 2008, respectively. He was awarded lecturer, Associate professor and professor in Chongqing University in 2006, 2009 and 2011. From January 2013 to October 2018, Professor at Southwest University, Vice Dean of School of Electronic And Information Engineering, Southwest University. He has been a professor in Chongqing University since November 2018. The research mainly focuses on mobile edge computing, mobile cloud computing, wireless sensor network, wireless AD hoc network and other aspects, and has achieved remarkable research results.

    Prof. Jimmy Liu,Southern University of Science and Technology, China

    In March 2016, Jimmy moved to China and became the founding institute director of the Cixi Institute of Biomedical Engineering (CIBE) under the Chinese Academy of Sciences (CAS). He further founded the iMED China Ningbo team in CIBE focusing on ocular image AI research. In February 2019, he joined the Department of Computer Science and Engineering of the Southern University of Science and Technology and established iMED China Shenzhen continue to focus on ocular AI image AI research. Right now, iMED China team are devoting themselves to eye-brain imaging, ocular imaging, ocular precision medicine, and ocular surgical robotics 4 research areas.

    Dr. Zhao Yue,Southwest Communication Research Institute, China

    Zhao Yue is a senior engineer and Ph.D. of Southwest Communication Research Institute. He has presided over more than ten projects such as National Natural Science Foundation Projects, Key Technology R&D Programs of Sichuan Province, and participated in National Key Technology R&D Program as the person in charge of special topics. As the first author or corresponding author, he has more than 20 academic papers published on IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Knowledge and Data Engineering, and other top network and communication academic journals and conferences, 34 patents authorized and 4 software copyrights registered.

    ●Special Seesions

    Special Session I: Quantum Secure Information Communication and Processing

    Session chair: Dr. Adarsh Kumar, University of Petroleum and Energy Studies, Dehradun, India

    Special Session II:: Image Segmentation

    Session chair: Dr. Tiehua Du, Nanyang polytechnic, Singapore

    ●The topics of FMVIP 2022 are included, but not limited:

    3D Computer Vision

    Handwriting Recognition

    Optical Character Recognition

    Deep Learning for Vision

    Illumination and Reflectance

    Pattern Recognition


    Image Processing

    Techniques and Methods

    RGBD Analysis

    Color Processing

    Materials Inspection

    Robot Vision

    Currency Inspection

    Medical Image Analysis Segmentation and Grouping

    Document Processing and Recognition

    Model-based Vision


    Early and Biologically Inspired Vision Motion, Flow and Tracking

    Signature Identification

    Electronic Component Analysis

    Object Detection and Recognition

    Statistics and Machine Learning for Vision

    Face and Gesture Recognition

    Object Recognition

    Stereo, Calibration, Geometric Modelling and Processing

    Texture, Shape and Colour

    Transmission and Encoding UV Imaging, Gamma Ray Imaging and CT scan in Medical Field

    Video Analysis and Processing

    For more:

    ●Call for participants

    1,Presenter: If you are interested in giving presentation on conference, without publishing your paper in the proceeding, you need to submit the abstract and title of your presentation to us:

    2,Listener: You are welcome to attend this great event. You need to complete the registration as Listener before the registration dealdine. Send email to us for further information.

    3,Reviewer: We sincerely welcome experts in the areas above join the conference as reviewer.

    ●Contact us

    Ms. Cong

    Cellphone:+86 17723329879



    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.