ISSN: 0920-5691

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International Journal of Computer Vision Q1 Unclaimed

Springer Netherlands Netherlands

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International Journal of Computer Vision is a journal indexed in SJR in Software and Computer Vision and Pattern Recognition with an H index of 199. It has a price of 2083 €. It has an SJR impact factor of 1,78 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 1,78.

International Journal of Computer Vision focuses its scope in these topics and keywords: visual, recovering, recognitionshape, recognition, promise, perils, partially, part, occluded, texturedetection, ...

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Artificial Intelligence (Q1) Computer Vision and Pattern Recognition (Q1) Software (Q1)

Price

2083 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

International Journal of Computer Vision

1,78

SJR Impact factor

199

H Index

155

Total Docs (Last Year)

269

Total Docs (3 years)

9609

Total Refs

3752

Total Cites (3 years)

259

Citable Docs (3 years)

13,21

Cites/Doc (2 years)

61,99

Ref/Doc

Other journals with similar parameters

Journal of Statistical Software Q1
Foundations and Trends in Machine Learning Q1
IEEE Transactions on Pattern Analysis and Machine Intelligence Q1
IEEE Transactions on Evolutionary Computation Q1
IEEE Transactions on Cybernetics Q1

Compare this journals

Aims and Scope

Best articles by citations

The Relevance of Non-Generic Events in Scale Space Models

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation

Constructing Virtual Cities by Using Panoramic Images

Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach

A Differential Geometric Approach to Multiple View Geometry in Spaces of Constant Curvature

Curve and Surface Duals and the Recognition of Curved 3D Objects from their Silhouettes

Structure from Motion Using Sequential Monte Carlo Methods

Guest Editorial: Computer Vision Research at Microsoft Corporation

Guest Editorial: Computer Vision Research at the Beckman Institute for Advanced Science and Technology

Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning

A New Hybrid Approach to Handwritten Address Verification

Methods for Volumetric Reconstruction of Visual Scenes

SHOW MORE ARTICLES

Active tracking of foveated feature clusters using affine structure

Full-Surround Image Display Technologies

Deformable Contour Method: A Constrained Optimization Approach

Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional

Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration

Editorial: Research in Japan on Omni-Directional Sensors and Their Applications

A General Framework for the Selection of World Coordinate Systems in Perspective and Catadioptric Imaging Applications

Segmented Linear Subspaces for Illumination-Robust Face Recognition

Shape-From-Silhouette Across Time Part II: Applications to Human Modeling and Markerless Motion Tracking

Displacement Following of Hidden Objects in a Video Sequence

Robust regression methods for computer vision: A review

Real-Time Omnidirectional Image Sensors

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