Welcome all of you to join 2021 The 14th International Conference on Machine Vision (ICMV 2021), which was held between the 8th and 12nd of November 2021. 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 11 sessions across the 4 conference days. ICMV 2021 was continue the impressive tradition and serve as a vital global platform, gathering scholars, social partners, other stakeholders to exchange ideas and best practices. For 4 days, there were amazing speeches, interesting presentations, and engaging discussions on future challenges in expertise of machine vision.
This year, the conference got 110 submissions. After several rounds of double blind review procedure, the program committees acceptedpapers
The conference chair Prof. Wolfgang Osten addressed the opening. Then the conference co-chair Prof. Johan Debayle chaired the morning sessions.
We started again with 3 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.
There are going to be 5 special sessions and 5 technical sessions, with topic of Special sessions respectively are Camera Based and Mobile Recognition, Computer Optics Journal, Advanced Imaging and Tomography, Machine Vision for Autonomous Vehicles, New Methods and Applications for Multimedia Security; while the 5 technical session topics are Deep Learning, Computer Vision, Image Forensics and Identification, 3D-Vision, Machine Learning, Image Processing Methods.
One best presentation will be selected from each session, evaluated from: originality; applicability; technical Merit; qualities of PPT; English. The best one will be announced at the end of each session. Certificates and receipts will be emailed to you after conference.
Congratulation extends to authors below:
|Special Session I: Camera Based and Mobile Recognition
Indian Institute of Technology Hyderabad, India
|Special Session II: Advanced Imaging and Tomography
Evocargo LLC, Russia
|Special Session III: Machine Vision for Autonomous Vehicles
Norwegian University of Science and Technology, Norway
|Special Session IV: New Methods and Applications for Multimedia Security
Samara National Research University, Russia
|Special Session V: Computer Optics Journal
|Session I: Deep Learning
Technische Universität Berlin, Germany
|Session 2: Computer Vision
ITMO University, Russia
Image Forensics and Identification, 3D-Vision
Université de Paris, France
|Session 4: Machine Learning
Duisburg-Essen University, Germany
|Session 5: Image Processing Methods
Karim Ben Alaya
Pannon Egyetem, Hungary