Journal Title：Iet Computer Vision

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 organisation

Representation, analysis and matching of 2D and 3D shape

Shape-from-X

Object recognition

Image understanding

Learning with visual inputs

Motion analysis and object tracking

Multiview scene analysis

Cognitive approaches in low, mid and high level vision

Control in visual systems

Colour, reflectance and light

Statistical and probabilistic models

Face and gesture

Surveillance

Biometrics and security

Robotics

Vehicle guidance

Automatic model aquisition

Medical image analysis and understanding

Aerial scene analysis and remote sensing

Deep learning models in computer vision

Both 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.pdf

Computer Vision for the Creative Industries - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf

IET 计算机视觉在计算机视觉的广泛领域寻求原创研究论文。该杂志的愿景是发表与该领域相关且具有主题性的最高质量研究工作，但不要忘记那些旨在引入新视野并为未来计算机视觉研究途径设定议程的工作。

IET 计算机视觉欢迎提交以下主题的作品：

基于生物学和感知动机的低级视觉方法（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 形状

物体识别

图像理解

通过视觉输入学习

运动分析和对象跟踪

多视图场景分析

低、中、高级视觉的认知方法

视觉系统中的控制

颜色、反射率和光线

统计和概率模型

面部和手势

监控

生物识别和安全

机器人

车辆引导

自动模型获取

医学影像分析与理解

航景分析与遥感

计算机视觉中的深度学习模型

欢迎以方法论和应用为导向的论文。

提交的手稿应包括对文献的详细分析回顾和对原始拟议研究及其方法的最新阐述、其彻底的实验评估，最后但并非最不重要的是，与相关的比较评估和最先进的方法。不遵守这些最低要求的投稿可能会被退回给作者，而不会送审。

特刊当前征文：

用于智能相机和相机网络的计算机视觉 - https://digital-library.theiet.org/files/IET_CVI_SC.pdf

创意产业的计算机视觉 - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf