IET電腦視覺歡迎就以下主題提交意見：低水平視覺（特征檢測等）的生物學和感知激勵方法；知覺分組和組織二維和三維圖形的表示、分析和匹配Hop-FROM X物體識別圖像理解用視覺輸入學習運動分析與目標跟蹤多視圖場景分析低、中、高層次視覺的認知方法視覺系統中的控制顏色、反射率和光統計和概率模型臉和手勢監控生物特征和安全機器人學車輛引導自動模型獲取醫學圖像分析與理解航空場景分析與遙感計算機視覺中的深度學習模型歡迎使用方法論和應用導向的論文。提交的手稿應包括對文獻的詳細和分析性審查，以及對最初提出的研究及其方法的最新闡述，其徹底的實驗評估，以及最后（但不僅是）對相關和最新方法的比較評估。不符合這些最低要求的提交文件可退回給作者，而無需送交審查。

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.