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

September 14-15, 2020

International Conference on Microfluidics

Dubai, UAE
September 21-22, 2020

Global Summit on Computer Science and Data Management

Sydney, Australia
November 23-24,2020

8th International Conferences on Green Energy & Expo

Edinburgh, Scotland
October 16-17, 2020

International Summit on Industrial Engineering

Munich, Germany
October 19-20, 2020

International Conference on Microfluidics & Bio-MEMS

Amsterdam, Netherlands
November 09-10, 2020

2nd World Congress on Robotics and Automation

Amsterdam, Netherlands
November 19-20, 2020

World Microfluidics Congress

Berlin, Germany
December 10-11, 2020

2nd International Conference on Wireless Technology

Abu Dhabi, UAE

Computer Vision & Pattern Recognition Conference Speakers

Recommended Sessions

Related Journals

Are you interested in