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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.

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