Computer Vision & Pattern Recognition

Computer Vision & Pattern Recognition Submit Abstract Register Now

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

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