International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics.

Coverage includes:

- Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors.

- Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more.

- Connections with human perception: computational and architectural aspects of human vision.

The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences, data sets, and software.

  • Details the science and engineering of the rapidly growing field of computer vision
  • Presents major technical advances of broad general interest
  • Provides a fast publication path for novel research results
  • Offers critical reviews of the state of the art and/or tutorial presentations of pertinent topics
  • 92% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Journal information

Senior Editor-in-Chief
  • Jean Ponce
Editors-in-Chief
  • Yasuyuki Matsushita,
  • Jiri Matas,
  • Svetlana Lazebnik
Publishing model
Hybrid. Open Access options available

Journal metrics

6.071 (2018)
Impact factor
12.389 (2018)
Five year impact factor
70 days
Submission to first decision
378 days
Submission to acceptance
347,664 (2018)
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Latest issue

Volume 128

Issue 3, March 2020, Pages 573 - 769

Special Issue: Advances in Architectures and Theories for Computer Vision

Latest articles

  1. Authors (first, second and last of 5)

    • Xiaojun Chen
    • Weijun Hong
    • Li Shen
    Content type: OriginalPaper

Journal updates

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About this journal

Electronic ISSN
1573-1405
Print ISSN
0920-5691
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