Categories |
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ROBOTICS
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MACHINE LEARNING
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COMPUTER SCIENCE
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IMAGE PROCESSING
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About |
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. |
Call for Papers |
Topics of interest for submission include, but are not limited to: Machine Vision, Image Processing, and Pattern Analysis
Computer Vision and Image Analysis
Pattern Recognition and Basic Technologies
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Summary |
ICMV 2020 : The 13th International Conference on Machine Vision will take place in Rome, Italy. It’s a 5 days event starting on Nov 02, 2020 (Monday) and will be winded up on Nov 06, 2020 (Friday). ICMV 2020 falls under the following areas: ROBOTICS, MACHINE LEARNING, COMPUTER SCIENCE, IMAGE PROCESSING, etc. Submissions for this Conference can be made by May 25, 2020. Authors can expect the result of submission by Jun 15, 2020. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the ICMV 2020
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Credits and Sources |
[1] ICMV 2020 : The 13th International Conference on Machine Vision |