Computer Vision and Image Understanding Q1 Unclaimed

Academic Press Inc. United States
Unfortunately this journal has not been claimed yet. For this reason, some information may be unavailable.

NA

Computer Vision and Image Understanding focuses its scope in these topics and keywords: d, models, image, human, vision, moment, modelsincremental, naturally, object, sequencesvideo, ...

Type: Journal

Type of Copyright: NA

Languages: English

Open Access Policy: Open Choice

Type of publications: NA

Publication frecuency: NA

Price

2160 €

Gold OA

-

Green OA

NA €

Non OA

Metrics

Computer Vision and Image Understanding

1,453

SJR Impact factor

138

H Index

93

Total Docs (Last Year)

346

Total Docs (3 years)

5085

Total Refs

2376

Total Cites (3 years)

338

Citable Docs (3 years)

6,86

Cites/Doc (2 years)

54,68

Ref/Doc

Aims and Scope


d, models, image, human, vision, moment, modelsincremental, naturally, object, sequencesvideo, pointbased, motion, process, reconstruction, retrieval, scalable, searcha, shape, shapecolor, machine, line, bilateral, body, capture, combined, computer, detection, generic, improve, integrated, interaction, invariants, issue, lanedeparture, learning, NA


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A resample strategy and artificial bee colony optimization-based 3d range imaging registration

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An efficient set estimator in high dimensions: consistency and applications to fast data visualization

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An embedded system for an eye-detection sensor

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An Exhaustive Study of Particular Cases Leading to Robust and Accurate Motion Estimation

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Analysis of Irregularly Shaped Texture Regions

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ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases

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Automated location matching in movies

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Automatic description of complex buildings from multiple images

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Crease Enhancement Diffusion

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Detection and characterization of junctions in a 2D image

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Dimensionality Reduction for Similarity Searching in Dynamic Databases

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Dynamic mutual calibration and view planning for cooperative mobile robots with panoramic virtual stereo vision

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Edge Detector Evaluation Using Empirical ROC Curves

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Efficient detection under varying illumination conditions and image plane rotations

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