Computer Vision & Pattern Recognition

Computer Vision (image understanding) is a discipline that studies how to reconstruct, interpret and understand a 3D scene from its 2D images in terms of the properties of the structures present in the scene. The ultimate goal of computer vision is to model, replicate, and more importantly exceed human vision using computer software and hardware at different levels.

Pattern Recognition techniques related to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

  • Object Recognition
  • Motion/Stereo Processing and Augmented Reality
  • Face Detection and Recognition
  • Gesture/Hand Recognition
  • Human Motion Analysis/Capture
  • Action Recognition
  • Human-Computer Interaction
  • Computational Photography
  • Vision for Robotics, Graphics & Web
  • Real-time Tracking
  • Optimization methods
  • Physics-based vision and shape-from-X
  • Recognition: detection, categorization, indexing, matching
  • Segmentation, grouping and shape representation
  • Video: events, activities and surveillance
  • Applications and research
  • Pattern recognition

Related Conference of Computer Vision & Pattern Recognition

December 10-11, 2020

2nd International Conference on Wireless Technology

Abu Dhabi, UAE
February 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
March 15-16, 2021

International Summit on  Industrial Engineering

Munich, Germany
September 21-22, 2021

Global Summit on Computer Science and data management

Sakai, Australia
November 16-17, 2021

International Conference on Microfluidics & Bio-MEMS

Osaka, Japan
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy

Computer Vision & Pattern Recognition Conference Speakers

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