Image and Vision Computing

Aims & Scope

Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision.

The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes.

It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology.

The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.2

SJR (SCImago Journal Rank)

Year	Value
2024	0.791

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	150

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Image registration methods: a survey

  Citation: 4779

  Authors: Barbara, Jan

• Robust wide-baseline stereo from maximally stable extremal regions

  Citation: 2183

  Authors: J, O, M, T

• Object modelling by registration of multiple range images

  Citation: 2061

  Authors: Yang, Gérard

• The FERET database and evaluation procedure for face-recognition algorithms

  Citation: 1812

  Authors: P.Jonathon, Harry, Jeffery, Patrick J.

• Facial expression recognition based on Local Binary Patterns: A comprehensive study

  Citation: 1803

  Authors: Caifeng, Shaogang, Peter W.

• A survey on vision-based human action recognition

  Citation: 1738

  Authors: Ronald

• Determination of displacements using an improved digital correlation method

  Citation: 1548

  Authors: MA, WJ, WH, WF, SR

• Multi-PIE

  Citation: 1420

  Authors: Ralph, Iain, Jeffrey, Takeo, Simon

• Image encryption using chaotic logistic map

  Citation: 995

  Authors: N.K., Vinod, K.K.

• Surface shape and curvature scales

  Citation: 984

  Authors: Jan J, Andrea J

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