IET Computer Vision

IET电脑视觉欢迎就以下主题提交意见：低水平视觉（特征检测等）的生物学和感知激励方法；知觉分组和组织二维和三维图形的表示、分析和匹配Hop-FROM X物体识别图像理解用视觉输入学习运动分析与目标跟踪多视图场景分析低、中、高层次视觉的认知方法视觉系统中的控制颜色、反射率和光统计和概率模型脸和手势监控生物特征和安全机器人学车辆引导自动模型获取医学图像分析与理解航空场景分析与遥感计算机视觉中的深度学习模型欢迎使用方法论和应用导向的论文。提交的手稿应包括对文献的详细和分析性审查，以及对最初提出的研究及其方法的最新阐述，其彻底的实验评估，以及最后（但不仅是）对相关和最新方法的比较评估。不符合这些最低要求的提交文件可退回给作者，而无需送交审查。

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.