IET Computer Vision（计算机视觉杂志）影响因子_期刊投稿发表

期刊简介

IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in computer vision. IET Computer Vision welcomes submissions on the following topics:Biologically and perceptually motivated approaches to low level vision (feature detection, etc.);Perceptual grouping and organisationRepresentation, analysis and matching of 2D and 3D shapeShape-from-XObject recognitionImage understandingLearning with visual inputsMotion analysis and object trackingMultiview scene analysisCognitive approaches in low, mid and high level visionControl in visual systemsColour, reflectance and lightStatistical and probabilistic modelsFace and gestureSurveillanceBiometrics and securityRoboticsVehicle guidanceAutomatic model aquisitionMedical image analysis and understandingAerial scene analysis and remote sensingDeep learning models in computer visionBoth methodological and applications orientated papers are welcome.Manuscripts submitted are expected to include a detailed and analytical review of the literature and state-of-the-art exposition of the original proposed research and its methodology, its thorough experimental evaluation, and last but not least, comparative evaluation against relevant and state-of-the-art methods. Submissions not abiding by these minimum requirements may be returned to authors without being sent to review.Special Issues Current Call for Papers:Computer Vision for Smart Cameras and Camera Networks - https://digital-library.theiet.org/files/IET_CVI_SC.pdfComputer Vision for the Creative Industries - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf

IET计算机视觉寻求在计算机视觉的广泛领域的原创研究论文。该杂志的愿景是出版最高质量的研究工作，是相关的和主题的领域，但不要忘记那些工作，旨在介绍新的视野和设置议程，未来的研究途径，在计算机视觉。IET计算机视觉欢迎以下主题的投稿：低层次视觉的生物和感知驱动方法（特征检测等）;感知分组和组织2D和3D形状的表示、分析和匹配X-Shape-from-XObject识别图像理解通过视觉输入进行学习运动分析和对象跟踪多视图场景分析低、中、高级视觉中的认知方法视觉系统中的控制颜色、反射率和光照统计和概率模型面部和手势监视生物识别和安全机器人车辆导航自动模型获取医学图像分析和理解空中场景分析和遥感计算机视觉中的深度学习模型方法论和应用导向的论文都是受欢迎的。提交的稿件预计将包括对最初提出的研究及其方法的文献和最新阐述的详细分析性综述，其全面的实验评估，最后但同样重要的是，与相关和最新方法的比较评估。不符合这些最低要求的作品可能会被退回给作者，而不会被发送到审查。特别问题当前征稿：智能相机和相机网络的计算机视觉-https://digital-library.theiet.org/files/IET_CVI_SC.pdfComputer创意产业的视觉-https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf

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