Open Access Paper
8 March 2022 Front Matter: Volume 12084
Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021); 1208401 (2022) https://doi.org/10.1117/12.2625908
Event: Fourteenth International Conference on Machine Vision (ICMV 2021), 2021, Rome, Italy
Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 12084, including the Title Page, Copyright information, Table of Contents, Introduction, and Conference Committee.

The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. Additional papers and presentation recordings may be available online in the SPIE Digital Library at SPIEDigitalLibrary.org.

The papers reflect the work and thoughts of the authors and are published herein as submitted. The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.

Please use the following format to cite material from these proceedings:

Author(s), “Title of Paper,” in Fourteenth International Conference on Machine Vision (ICMV 2021), edited by Wolfgang Osten, Dmitry Nikolaev, Jianhong Zhou, Proc. of SPIE 12084, Seven-digit Article CID Number (DD/MM/YYYY); (DOI URL).

ISSN: 0277-786X

ISSN: 1996-756X (electronic)

ISBN: 9781510650442

ISBN: 9781510650459 (electronic)

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Conference Committee

International Advisory Chair

  • Antanas Verikas, Halmstad University (Sweden)

General Chairs

  • Wolfgang Osten, Universität Stuttgart (Germany)

General Co-chairs

  • Dmitry Nikolaev, Institute for Information Transmission Problems (Russian Federation)

  • Johan Debayle, Ecole Nationale Supérieure des Mines de Saint-Etienne (France)

Program Co-chairs

  • Alexander Bernstein, Skolkovo Institute of Science and Technology (Skoltech) (Russian Federation)

  • Laure Tougne, Université Lyon (France)

  • Vladimir Arlazarov, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences (Russian Federation)

  • Jianhong Zhou, University of Electronic Science and Technology of China (China)

Local Chair

  • Alessia Cedola, Sapienza Universitá di Roma (Italy)

Track Chairs

  • Petia Radeva, Universidad de Barcelona (Spain)

  • George A. Papakostas, International Hellenic University (Greece)

  • Yann Gavet, MINES Saint-Etienne (France)

  • Konstantin Bulatov, Federal Research Center ‘Computer Science and Control’ of Russian Academy of Sciences (Russian Federation)

  • Jean-Christophe Burie, La Rochelle Université, L3i Laboratoire (France)

Journal Chairs

  • Vladislav Sergeev, Samara National Research University (Russian Federation)

  • Artem V. Nikonorov, Samara National Research University (Russian Federation)

Competition Chair

  • Dmitry V. Polevoy, Federal Research Center ‘Computer Science and Control’ of Russian Academy of Sciences (Russian Federation)

Publicity Chairs

  • Henryk Palus, Silesian University of Technology (Poland)

  • Víctor González-Castro, Universitdad de León (Spain)

  • Dorra Sellami, Sfax University (Tunisia)

  • Bogdan Kwolek, AGH University of Science and Technology (Poland)

Technical Committees

  • A. I. Chulichkov, M.V. Lomonosov Moscow State University (Russian Federation)

  • Aristidis Likas, University of Ioannina (Greece)

  • Ashish Khare, University of Allahabad (India)

  • Assia Kourgli, Faculte d’Electronique et d’Informatique, LTIR (Algeria)

  • Camille Kurtz, Université de Paris (France)

  • Dmitry V. Polevoy, Federal Research Center ‘Computer Science and Control’ of Russian Academy of Sciences (Russian Federation)

  • Egor Bondarev, Eindhoven University of Technology (Netherlands)

  • Elena Battini Sonmez, Istanbul Bilgi University (Turkey)

  • Evaldas Vaiciukynas, Kaunas University of Technology (Lithuania)

  • Evgeni Magid, Kazan Federal University (Russian Federation)

  • Evgeny Burnaev, Skolkovo University of Science and Technology (Russian Federation)

  • Evgeny Shvets, IITP RAS (Russian Federation)

  • Haluk Kucuk, Universitat Ramon Llull (Spain)

  • Jianbo Su, Shanghai Jiao Tong University (China)

  • Jianjun Yi, East China University of Science and Technology (China)

  • Jose M. Massa, UNICEN University (Argentina)

  • Jun-Dong Cho, Sungkyunkwan University (South Korea)

  • Junqiao Zhao, Tongji University (China)

  • Kishor Bhurchandi, Visvesvaraya National Institute of Technology (India)

  • Laurent Wendling, Paris Descartes Université (France)

  • M. Iqbal b. Saripan, University Putra Malaysia (Malaysia)

  • Manshan Zhou, Shandong University of Science and Technology (China)

  • Manuel F. Gonzalez Penedo, Universidade da Coruna (Spain)

  • Marcos Orgega, Universidade da Coruna (Spain)

  • Maya Dimitrova, Institute of Systems Engineering and Robotics, Bulgarian Academy of Sciences (Bulgaria)

  • Mehmet Cunkas, Selcuk University (Turkey)

  • Mircea-Florin Vaida, Technical University of Cluj-Napoca (Romania)

  • Mohamed Rizon, Universiti Sultan Zainal Abidin (Malaysia)

  • Mouna Baklouti, Nationnal School of Engineering of Sfax (Tunisia)

  • Mounîm A. El-Yacoubi, Université de Paris Saclay (France)

  • Musab Al-Ghadi, Laboratoire L3i (France)

  • M-Tahar Kechadi, Ireland University College Dublin and University of Salerno (Ireland)

  • Oleg Slavin, Federal Research Center ‘Computer Science and Control’ of Russian Academy of Sciences (Russian Federation)

  • Panagiotis Barmpoutis, Imperial College London (United Kingdom)

  • Qieshi Zhang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (China)

  • Reyer Zwiggelaar, Aberystwyth University (United Kingdom)

  • Ridha Ejbali, University of Gabes (Tunisia)

  • Sadekov Rinat Nailevish, MEI “Institute of Engineering Physics” (Russian Federation)

  • Seokwon Yeom, Daegu University Gyeongsan (Korea, Republic of)

  • Sergey Gladilin, Institute for Information Transmission Problems (Russian Federation)

  • Sergii Mashtalir, Kharkiv National University of Radio Electronics (Ukraine)

  • Seridi Hamid, LABSTIC-LINA (France)

  • Szidonia Lefkovits, George Emil Palade University (Romania)

  • Tomasz Krzeszowski, Rzeszow University of Technology (Poland)

  • V. Asadchikov, FSRC “Crystallography and Photonics” RAS (Russian Federation)

  • Viacheslav Voronin, Moscow State Technological University “STANKIN” (Russian Federation)

  • Victoria A. Sablina, Ryazan State Radio Engineering University (Russian Federation)

  • Vladimir A. Fursov, Samara National Research University (Russian Federation)

  • Vladimir Khryashchev, P.G. Demidov Yaroslavl State University (Russian Federation)

  • Wafa AlSharafat, Al Al-Bayt University (Jordan)

  • Walid Hariri, Badji Mokhtar Annaba University (Algeria)

  • Xiao Zhou, Wuhan University of Technology (China)

  • Xose M. Pardo Lopez, Universidade Santiago de Compostela (Spain)

  • Yassin Ben Ayed, Miracl Laboratory (Tunisia)

  • Yun Gao, Yunnan University (China)

  • Zhan Ma, Nanjing University (China)

  • Zineddine Kouahla, LABSTIC-LINA (France)

Session Chairs

  • 1 Camera Based and Mobile Recognition

    Jean-Christophe Burie, La Rochelle Université, L3i Laboratoire (France)

  • 2 Advanced Imaging and Tomography

    Alessia Cedola, Sapienza Universitá di Roma (Italy)

  • 3 Machine Vision for Autonomous Driven Cars under Harsh Environmental Conditions

    Wolfgang Osten, Universität Stuttgart (Germany)

  • 4 New Methods and Applications for Multimedia Security

    Andrey Kuznetsov, Samara National Research University (Russian Federation)

  • 5 Deep Learning

    Petia Radeva, Universidad de Barcelona (Spain)

  • 6 Computer Vision

    George A. Papakostas, International Hellenic University (Greece)

  • 7 Image Forensics and Identification, 3D-Vision

    Alexander Bernstein, Skolkovo Institute of Science and Technology (Skoltech) (Russian Federation)

  • 8 Machine Learning

    Johan Debayle, Ecole Nationale Supérieure des Mines, Saint-Etienne (France)

  • 9 Image Processing Methods

    Konstantin Bulatov, Federal Research Center ‘Computer Science and Control’ of Russian Academy of Sciences (Russian Federation)

Introduction

Meanwhile we all are aware that we experience currently a very special period. But we are sure that most of the people have not expected that this time of drastic restrictions will last so long. All private, social, economic, cultural, and academic areas are negatively influenced. But for a certain time it was totally underestimated how strong this pandemic will disturb the international scientific cooperation. We all miss our personal meetings with lively discussions and active knowledge transfer which are of invaluable value for the progress of the sciences. Last year we finished my preface with the hope that we will meet in November 2021 in Rome onsite and not again in another virtual room. Unfortunately, this outlook was obviously too optimistic. Consequently, we organized another virtual conference from which we report in these proceedings.

If we consider all the challenges that such a more or less anonymous event causes, then we can still conclude that the 14th ICMV was a successful event again. More than 80 participants took actively part on the eleven sessions across the four conference days. We started again with three invited lectures given by recognized international experts in machine vision.

Dr. Ferraro from the Institute of Applied Sciences & Intelligent Systems in Naples reported about, “Learning strategies for the recognition and classification of micro-objects through holographic footprints”. In his talk he discussed the impressive advantages of digital holographic microscopes for the identification of single biological cells and microplastics pollutions in water. The second invited talk was given by Dr. Vittorio Murino from the University of Verona, Italy. In his talk entitled with, “Multimodal scene understanding leveraging acoustic images” he emphasized the advantage of a multimodal approach for feature recognition in acoustic images. Finally, Dr. Konstantin Bulatov from the Russian Academy of Sciences reported in his invited talk, “Anytime algorithms of machine vision” about a class of algorithms that can return a valid solution to a problem even if the event is interrupted before it ends. The algorithm is expected to find better and better solutions the longer it keeps running. Some examples from OCR and computed tomography illustrated the benefit of that approach for machine vision.

The conference continued with eighteen contributed papers presented in five special sessions:

  • - Camera Based and Mobile Recognition (organized and chaired by Prof. Vladimir Arlazarov from Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences) with six presentations,

  • - Advanced Imaging and Tomography (organized and chaired by Prof. Alessia Cedola from The Sapienza University of Rome, Rome unit Nanotec CNR, Italy) with six presentations,

  • - Machine Vision for Autonomous Driven Cars under Harsh Environmental Conditions (chaired by Prof. Wolfgang Osten, University Stuttgart, Germany) with six presentations,

  • - New methods and applications for multimedia security (organized and chaired by Prof. Andrey Kuznetsov from the Samara National Research University, Russian Federation) with six presentations, and

  • - Computer Optics Journal (chaired by Prof. Artem Nikonorov from the Samara University, Russian Federation) with four presentations.

Afterwards five technical sessions with thirty-four presentations completed the program that ended with an award ceremony for the best papers in all sessions that were selected by the respective chairs.

What we would like to highlight also for this 14th conference has an extremely international character of participants. Scientists from all over the world came together again to present and discuss their latest findings in computer vision for an interested audience.

These proceedings are a collection of fifty-seven papers that were presented at the conference. For the structure of that volume, we used a more simplified classification into five topics:

  • 1 –Machine Vision Principles and Methods,

  • 2 –Machine Vision Applications,

  • 3 –Machine Learning,

  • 4 –Computational Imaging, and

  • 5 –Big Data

We hope that the reader gets this way a good impression about the wide diversity of new approaches and applications in machine vision. In fact, machine vision is not a very young but nevertheless an emerging field. Many aspects of the digitization and AI hype such as the Internet of Things (IoT), the digital factory, universal public safety, machine learning, deep leaning, computer vision, computational imaging, active vision, robotics, and autonomous vehicles are affected by new technologies that are actually developed and implemented in this field. Therefore, we look ahead with great interest to the 15th International Conference on Machine Vision which will hopefully take place onsite in Rome in the autumn 2022.

Our deep thanks goes again to Prof. Alessia Cedola as local chair with the hope that she is ready to organize the meeting next year onsite in Rome. Until then, the articles in this volume will hopefully find a grateful audience and will be a source of new inspiration. But actually our thanks go to all participants of the 14th conference and especially to the organizers.

Wolfgang Osten

Dmitry Nikolaev

Johan Debayle

© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 12084", Proc. SPIE 12084, Fourteenth International Conference on Machine Vision (ICMV 2021), 1208401 (8 March 2022); https://doi.org/10.1117/12.2625908
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KEYWORDS
Image segmentation

Machine vision

Data modeling

Data centers

Computer science

Machine learning

Scientific research

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