Quality Control by Artificial Vision
QCAV2021
May 12-14, 2021
PARK WESTON Hotel & Wedding, Tokushima, Japan
(QCAV2021 will be held online)
IMPORTANT!
QCAV2021 is all over now!
Next QCAV2023 will be held in Albi, France, on 2023. See you in Albi!
- Best Paper Award Winning Papers:
   - GT1-8, ``Deflectometry based on Light-Field Imaging'',
      A. Meguenanni, K. Tout, S. Kohler, S. Bazeille, J-P. Chambard and C. Cudel
   - GT2-4, ``Identification of Insect Infiltration Time by Tissue Slice'',
      Yuya Hashiguchi, Kenji Terada, Kenji Shinozaki and Kazuhiro Miyama
   - GT2-11, ``Vision-Based Classification of Mosquito Species: Data Augmentation by Background Replacement
      for Convolutional Neural Network-based Species Classification of Smashed Mosquitoes'',
      Ryousuke Tsubaki, Takumi Toyoda, Kota Yoshida and Akio Nakamura
   - GT3-10, ``On Learning Deep Domain-invariant Features from 2D Synthetic Images for Industrial Visual Inspection'',
      Abdelrahman G. Abubakr, Igor Jovančević, Nour Islam Mokhtari, Hamdi Ben Abdallah and Jean-José Orteu
   - GT3-15, ``Pre-training Dataset Generation for Classifying Beams of Vehicle Headlights from Nighttime Camera Image'',
      Tatsuya Oyabu, Rebeka Sultana and Gosuke Ohashi
- For participants:
   - The receipt will be sent as an email attachment after the end of QCAV2021.
      If you have any questions or requests about the registration,
       please contact qcav2021_0125 [at] or.knt.co.jp directyly.
- Conference Program (final version) is opened.
Due to the COVID-19 pandemic, the QCAV2021 conference will be held as a fully online virtual conference.
The health and safety of all participants is our top priority. Please see the details available on this website.
Thanks for your kind understanding.
The objective of the QCAV2021 conference is to provide a forum for researchers, engineers, suppliers and users working in the artificial vision fields. With an emphasis on quality control, the attendees at the conference present and discuss the state-of-the-art in artificial vision, which includes traditional image processing techniques, artificial intelligence, 2-D and 3-D vision sensors, and various applications.
Download the QCAV 2021 Call for Participants (PDF).
Sponsored by
Technical Committee on Industrial Application of Image Processing, Japan Society for Precision Engineering (JSPE)
Technical Sponsor
- Research Committee on Sensing and AI Technology in HISEIBI Environment, The Institute of Electrical Engineers of Japan (IEEJ)
- Society of Academic Study on Sensing via Image Information / SSII
- Technical Committee on Pattern Recognition and Media Understanding (PRMU), The Institute of Electronics, Information and Communication Engineers (IEICE)
- Research & Technical Committee on In-Process Inspection, The Japanese Society for Non-Destructive Inspection (JSNDI)
- Technical Committee on Pattern Measurement, The Society of Instrument and Control Engineers (SICE)
- Computer Aided Image Surveillance And Recognition, The Institute of Electrical Engineers of Japan (IEEJ)
- Technical Committee on 3D Scanning, Recognition, and Modeling of Large Scale Environments, Japan Society for Precision Engineering (JSPE)
- SIG-CVIM: Computer Vision and Image Media, Information Processing Society of Japan (IPSJ)
- Technical Group on Media Engineering (ME), The Institute of Image Information and Television Engineers (ITE)