Computer Vision & Pattern Recognition

Computer vision is a discipline that concentrates how to reproduce, translate and comprehend a 3 dimensional information from its 2D pictures as far as the properties of the structures introduce in the scene. A definitive objective of Computer vision is to display, duplicate, and all the more critically surpass human vision utilizing computer programming and equipment at various levels. 

Pattern Recognition is wide usedly in different applications with advancement of Multimedia technolgies. This track deals with the novel research in the field of Computer vision and Pattern recognition.

  • Object Recognition
  • Scene Understanding
  • Motion/Stereo Processing and Augmented Reality
  • Face Detection and Recognition
  • Gesture/Hand Recognition
  • Human Motion Analysis/Capture
  • Action Recognition
  • Computational Photography
  • Vision for Robotics
  • Vision for Graphics
  • Vision for 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

Related Conference of Computer Vision & Pattern Recognition

June 28-29, 2017

3rd World Congress on Automation and Robotics

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7th Euro Biosensors & Bioelectronics Congress

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3rd Global Summit and Expo on Multimedia & Artificial Intelligence

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4th Biomedical Engineering Conference

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Computer Vision & Pattern Recognition Conference Speakers

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