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.