2020 The 13th International Conference on Machine Vision (ICMV 2020) is initiated by School of Electronics, Si Chuan University, China, assisted by University of Stuttgart, Germany, Halmstad University, Sweden, University of Barcelona, Spain, Institute for Information Transmission Problems, Russia, The Sapienza University of Rome, Italy.
The emergence of Machine Vision as a ubiquitous platform for innovations has laid the foundation for the rapid growth of the Information. Side-by-side, the use of mobile and wireless devices such as PDA, laptop, and cell phones for accessing the Internet has paved the ways for related technologies to flourish through recent developments. In addition, the Machine Vision Technology is promoting better integration of the digital world with physical environment. This conference serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Machine Vision related techniques.
High quality, original papers are solicited in all areas of Machine Vision. The final program will be the result of a highly selective review process designed to include the best work of its kind in every category. The program will include invited talks as well as oral and poster presentations of refereed papers.
Accepted and presented papers of ICMV 2020 will be published by SPIE, which will be included in SPIE Digital Library, provided to the Web of Science Conference Proceedings Citation Index-Science, Scopus, Ei Compendex, etc, to ensure maximum awareness of the Proceedings.
General Chairs :
- Prof. Wolfgang Osten, University of Stuttgart, Germany
- Prof. Dmitry Nikolaev, Institute for Information Transmission Problems, Russia
Chapter Chairs :
- Prof. Alexander Bernstein, Skolkovo Institute of Science and Technology (Skoltech), Russia Federation
- Prof. Petia Radeva, University of Barcelona, Spain
- Prof. Dorra Sellami, Sfax University, Tunisia
- Prof. Sei-ichiro Kamata, Waseda University, Japan
Dr. Allen Foster /+86-13688461344 / firstname.lastname@example.org