[image 02797] CFP IW-FCV2018のお知らせ

Takeshi Nagasaki nagasaki @ fun.ac.jp
2017年 12月 11日 (月) 08:41:29 JST


Image MLの皆様

公立はこだて未来大学の長崎と申します.

2017年2月21日から函館にて開催される
IW-FCV2018(24rd International Workshop on Frontiers of Computer Vision)
について前回のお知らせから若干変更がありましたので,再度ご案内させて頂きます.

IW-FCV2018(24rd International Workshop on Frontiers of Computer Vision)
2018年2月21日〜23日
公立はこだて未来大学(北海道函館市)
http://www.fun.ac.jp/~nagasaki/FCV2018/

IW-FCV2017まではOral/Poster presentationだけでしたが,
IW-FCV2018ではこれらに加え,Demo presentationも用意いたしましたので御検討ください.

論文締め切りは12月20日になりますので,奮ってご投稿いただけますと幸いです.

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Call for papers
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The International Workshop on Frontiers of Computer Vision (IW-FCV) is the exciting chance and place for intercommunication and
discussion through many presentations of the advanced researches from the worldwide research communities of computer vision
fundamentals and machine vision application systems. The IW-FCV 2018 will be held in Hakodate, Japan.

Homepage
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http://www.fun.ac.jp/~nagasaki/FCV2018/

Venue
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Future University HAKODATE, Hakodate, Hokkaido, Japan.

Important Dates
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Extended abstract submission: December 20, 2017 
Notification of acceptance: January 9, 2018
Final camera-ready paper: January 22, 2018
Early Online registration: January 29, 2018

SCOPE
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Topics of interest include all aspects of image processing, computer vision, machine vision, 
the fundamentals and applications including, but not limited to, the following areas:

Theory:
Computer Vision theory & software, 3D image processing, Depth image recognition,
Image sensor & device, Image processing hardware & architecture, Optical image processing & sensing, 
Video processing Motion analysis, Image search & retrieving, Big data image processing,
Deep Learning-based Vision, Machine & Semantic Learning.

Applications:
Industry system, Factory automation, Visual inspection, Machine vision & Robot vision system,
Security application, Biometrics, Intelligent transportation system, Automatic driving system,
Content-based retrieval, Video Indexing and editing, Multimedia understanding, Multimodal recognition,
Medical & human sensing application, Sports & entertainment, Human interface,
VR & AR, Computer vision applications.

--
北海道函館市亀田中野町116-2
公立はこだて未来大学 システム情報科学部
情報アーキテクチャ学科 教授
長崎 健 (nagasaki @ fun.ac.jp)
Tel: 0138-34-6329




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