Foundations and Trends in Computer Graphics and Vision

Foundations and Trends in Computer Graphics and Vision
影响因子:
3.8
ISSN:
print: 1572-2740
on-line: 1572-2759
研究领域:
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
自引率:
0.00%
Gold OA文章占比:
90.00%
原创研究文献占比:
80.00%
SCI收录类型:
Emerging Sources Citation Index (ESCI)
期刊介绍英文:
The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Computer Graphics and Vision publishes high-quality survey and tutorial monographs of the field. Each issue of Foundations and Trends® in Computer Graphics and Vision comprises a 50-100 page monograph written by research leaders in the field. Monographs that give tutorial coverage of subjects, research retrospectives as well as survey papers that offer state-of-the-art reviews fall within the scope of the journal.
期刊介绍中文:
过去十年中各方面研究的增长导致了大量新出版物的出现,并且已发表的研究呈指数级增长。通过现有的优秀文献找到方法并保持最新已经成为一个主要的耗时问题。每期《Foundations and Trends® in Computer Graphics and Vision》均包含由该领域研究领导者撰写的50-100页专着。提供主题教程、研究回顾以及提供最先进评论的调查论文的专着都属于该期刊的范围。
CiteScore:
CiteScoreSJRSNIPCiteScore排名
31.24.9525.706
学科
排名
百分位
大类:Computer Science
小类:Computer Vision and Pattern Recognition
4 / 106
96%
发文信息
WOS期刊分区
学科分类
Q2COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
历年影响因子
2022年36.5000
2023年3.8000
历年发表
2012年0
2013年0
2014年2
2015年3
2016年3
2017年0
2018年1
2019年2
2020年1
2021年1
2022年1
投稿信息
出版国家(地区):
Singapore
出版商:
World Scientific

Foundations and Trends in Computer Graphics and Vision - 最新文献

Semantic Image Segmentation: Two Decades of Research

Pub Date : 2023-02-13 DOI: 10.1561/0600000095 G. Csurka, Riccardo Volpi, Boris Chidlovskii

Learning-based Visual Compression

Pub Date : 2023-01-01 DOI: 10.1561/0600000101 Ruolei Ji, Lina Karam

Computational Imaging Through Atmospheric Turbulence

Pub Date : 2023-01-01 DOI: 10.1561/0600000103 Stanley H. Chan, Nicholas Chimitt
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