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

High-quality research articles reporting novel methodologies and significant results of interest 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. Articles dealing with low-level aspects of image analysis should be submitted to an Image Processing journal. In IET-CVI, we aim to cover mid to high level range of image and video analysis and understanding articles.