[image 01976] CFP: QCAV 2017 - 13th International Conference on Quality Control by Artificial Vision

長原 一 nagahara @ ait.kyushu-u.ac.jp
2016年 8月 19日 (金) 02:14:13 JST


九州大学の長原です.

複数のメールが届きましたらご容赦下さい.

来年5/14-16に東京・御茶ノ水で開催されるQCAV2017 (13th International Conference on Quality Control by Artificial Vision)のCFPをご案内させて頂きます.
http://www.tc-iaip.org/QCAV2017/

QCAVは,画像処理の応用に関する国際会議で,フランスを中心に隔年で開催されており,日本での開催は,1998香川,2005名古屋,2013福岡に続く4度目となります.

日程は以下の通りです.
Deadline for abstract submission (4-8 pages) Oct. 14, 2016
Acceptance notification Dec. 15, 2016
Deadline for camera-ready paper submission Jan. 16, 2017
Conference Dates May 14-16, 2017

論文は,A4シングルコラム,4-8ページで,SPIE (International Society for Optics and Photonics)のDigital Libraryに掲載されます.

なお,5/8-12に名古屋で開催されるMVA2017に続けて参加できるように日程を設定しておりますので,是非合わせてご投稿をご検討下さい.

以上,よろしくお願いいたします.

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QCAV 2017 - 13th International Conference on Quality Control by Artificial Vision
	• Conference date: May 14-16, 2017
	• Deadline for submission (4-8 pages): October 14, 2016
	• Acceptance notification : December 15, 2016
	• Deadline for camera-ready paper submission Jan. 16, 2017
	• Location: Tokyo, Japan
	• Website: http://www.tc-iaip.org/QCAV2017/
Artificial vision relates to the application of computers, sensors, methods, and networks to view and interpret the world through the "eyes" of a machine. Research and development in artificial vision has made tremendous strides over the last decade with the availability of high-speed, low cost computer systems, high-density, high fidelity vision sensors, and advanced internetworking capabilities such as those provided by the world wide web. Many advances in manufacturing/Medical diagnosis/Medical screening/ have required tremendous corresponding advances in metrology, inspection, and data interpretation for process characterization and control that rely on the fundamental methods and technologies of artificial vision.

The International Conference on Quality Control by Artificial Vision (QCAV) provides a forum for university, government laboratory, and industrial researchers to present and discuss innovative concepts and methods for improving the quality and efficiency of industrial processes, Computer Aided Diagnosis through artificial vision and image processing.

The presentations will include contributed papers and poster sessions as well as invited speakers. Papers are invited that describe novel theoretical, experimental, and applied work in image processing and computer vision for industrial quality control through improved metrology, inspection, and process characterization as well as in the growing field of Computer Aided Diagnosis where image processing, data fusion are the key components of such technology.

Topics :

Papers describing novel theoretical, experimental, and applied work in image processing and computer vision for quality control are welcomed.

Papers are solicited from, but not limited to, the following categories: 
- Optical, Electron, X-ray, Ultrasound and other Imaging Modalities
- Image Acquisition, Vision Sensors and Systems 
- Non-destructive Testing and Metrology
- Image Processing and Segmentation
- Image Interpretation and Pattern Recognition
- Image Analysis and Geometrical Description
- Process Automation, Characterization and Control

The Proceedings are published in the SPIE Digital Library


QCAV2017 Program chairs:
	Hajime Nagahara (Kyushu Univ., Japan) 
	Philippe Bolon (Univ. de Savoie Mont Blanc, France) 
	Fabrice Meriaudeau (Universiti Teknologi Petronas, Malaysia) 



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