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Computer Vision

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Theoretical Computer Science

Scope

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.

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Editorial Board

Scope

Areas covered by this section include, but are not limited to:

Fundamental research

• Change and motion detection

• Color and texture

• Computed imaging

• Deep learning for computer vision and image analysis

• Datasets and performance evaluation

• Early and biologically inspired vision

• Event and action recognition and localization

• Face and gesture recognition

• Graphical models and MRF for image analysis

• Graph-based methods

• Image restoration

• Image and video indexing and retrieval

• Image and video processing

• Image classification

• Object detection and recognition

• PDE and variational methods for image analysis

• Registration and matching

• RGB-D image and video analysis

• Scene understanding

• Segmentation and grouping

• Shape representation and analysis

• Spectral methods

• Stereovision

• Tracking

• Vision for graphics

• 2D and 3D optical flow

• 3D reconstruction

Applications

• Autonomous vehicles

• Biological imaging

• Biometrics

• Computational photography

• Copy detection

• Experimental flow analysis and visualization

• Image authentication

• Imaging genetics

• Medical imaging

• Photo and video editing

• Satellite and aerial imaging

• Scene surveillance

• Visual effects creation

• 3D TV

This section provides an Open-Access publishing forum for the computer vision and image analysis communities and also encourages interdisciplinary collaboration through the development of Frontiers Research Topic article collections. Please note that all submissions to Computer Vision must be considered in-scope of both this section and the journal to be considered for publication.

Facts

Indexed in: CLOCKSS, CrossRef, Digital Biography & Library Project (dblp), DOAJ, Google Scholar, OpenAIRE, Web of Science Emerging Sources Citation Index (ESCI)

PMCID: NA

Submission

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.

Frontiers Support
Tel +41(0)21 510 17 10
Fax +41 (0)21 510 17 01
support@frontiersin.org

in Computer Science

Computer Security

Computer Vision

Digital Education

Human-Media Interaction

Mobile and Ubiquitous Computing

Networks and Communications

Software

Theoretical Computer Science

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Scope

Your impact matters

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Computer Security

Computer Vision

Digital Education

Human-Media Interaction

Mobile and Ubiquitous Computing

Networks and Communications

Software

Theoretical Computer Science