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IPMV 2021 : 3rd International Conference on Image Processing and Machine Vision

Hong Kong
Event Date: May 22, 2021 - May 24, 2021
Submission Deadline: Jan 05, 2021

About

Image Processing and Machine Vision usually plays an important role in the transition from data storage to decision systems based on large  databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, multimedia, among others. Thus, Image Processing and Machine Vision techniques are very useful for these type of systems to automate processing and analysis techniques to retrieve information from data storage.

IPMV is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results. It will put special emphasis on the participations of PhD students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open questions.

Call For Paper

Topics include, but are not limited to:

Image Processing

  • 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

Machine Vision

  • 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

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