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Computer Vision publishes work focused on all aspects of developing vision and image analysis technology from a computational perspective. The section welcomes submissions from academic and industry researchers that seek to advance fundamentals of computer vision and image analysis or develop applications of these principles within other related disciplines.
Indexed in: CLOCKSS, CrossRef, Digital Biography & Library Project (dblp), DOAJ, Google Scholar, OpenAIRE, Web of Science Emerging Sources Citation Index (ESCI)
Computer Vision welcomes submissions of the following article types: Brief Research Report, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Specialty Grand Challenge and Systematic Review.
All manuscripts must be submitted directly to the section Computer Vision, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Avenue du Tribunal Fédéral 34
CH – 1005 Lausanne
Tel +41(0)21 510 17 40
Fax +41 (0)21 510 17 01
For all queries regarding manuscripts in Review and potential conflicts of interest, please contact firstname.lastname@example.org
For queries regarding Research Topics, Editorial Board applications, and journal development, please contact email@example.com