Following the conference 2018 in Shaw
Foundation Alumni House, National University of Singapore, the 2nd ICMVA 2019
is to be held in
Tokyo, Japan, during April 12-15, 2019.
The field of machine vision and application, has been growing at a fast pace. As in most fast-developing fields, not all aspects of machine vision that are of interest to active researchers are useful to the designers and users of a vision system for a specific application. This conference is intended to provide a balanced introduction to machine vision. Basic concepts and application are introduced and discussed with various essential mathematical elements etc onsite. The details to allow implementation and use of vision algorithm in practical application are provided, and engineering aspects of techniques are emphasized. The problems to apply machine vision are going to be solved.
What's more, the aim of this conference is to bring together researchers and practitioners from both academia and industry, and to stimulate the exchange of knowledge through intensive discussions on the cutting-edge research topics listed below: Vision Sensing, Machine Vision Applications, Factory Automation and Robotics, Intelligent Transport Systems, Surveillance, Human Computer Interaction, Biomedical, Multimedia, and Life Science and Engineering, etc.
We hope that the conference results
constituted significant contribution to the knowledge in
these up to date scientific field.
The organizing committee
of conference is pleased to invite prospective authors to
submit their original manuscripts to ICMVA 2019.
Accepted and registered Papers can be published in
Ei Compendex, Scopus, and reviewed by
Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
The conference proceedings of 2018 has been online.
Submit Now!! ICMVA 2019 online system is
available at EasyChair here:
You need an easychair account, if you don't have, you can register first.
Or you can send the full paper or abstract directly via mail email@example.com
Template Download and Abstract Template
Ms. Amber XJ. Lin
Tel: +1-562-606-1057 (English) +86 18207777775 (English&Chinese)