Call for Papers

Call for Papers_Download CFP Brochure

Authors are invited to submit full-length high-quality papers in image processing and machine vision. Papers covering theory and/or application areas of computer vision are invited for submission. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation.

Topics include, but are not limited to:

Image Processing Machine Vision
  • Sensing, Representation, Modeling, and Registration
  • Synthesis, Rendering, and Visualization
  • Texture Image Representation and Classification
  • Computational Imaging
  • Restoration and Enhancement
  • Filtering and Multiresolution Processing
  • Interpolation, Super-resolution, and Mosaicing
  • Compression, Coding, and Transmission
  • Color, Multispectral, and Hyperspectral Imaging
  • Document Analysis and Processing
  • Stereoscopic, Multiview, and 3D Processing
  • Image & Video Perception and Quality Models
  • Motion Estimation, Registration, and Fusion
  • Deep Learning for Images and Videos
  • Learning with Limited Labels
  • Robustness in Image Processing and Learning
  • Image & Video Analysis and Segmentation
  • Interpretation and Understanding
  • Detection, Recognition, and Classification
  • Image & Video Labeling and Retrieval
  • Biometrics, Forensics, and Security
  • Image Processing for Geophysics
  • Image Processing for Public Health and Safety
  • Biomedical and Biological Image Processing
  • Image & Video Systems and Applications
  • Emerging Applications and Systems
  • Statistics and machine learning for vision
  • Stereo, calibration, geometric modelling and processing
  • Face and gesture recognition
  • Early and biologically inspired vision
  • Motion, flow and tracking
  • Segmentation and grouping
  • Model-based vision
  • Image processing techniques and methods
  • Texture, shape and colour
  • Video analysis
  • Document processing and recognition
  • Vision for quality assurance, medical diagnosis, etc.
  • Vision for visualisation, interaction, and graphics
  • Object detection and recognition
  • Shape-from-X
  • Video analysis for action and event recognition
  • Illumination and reflectance
  • Deep learning for vision
  • 3D computer vision
  • RGBD analysis