Computer Vision and Pattern Recognition

Computer vision, Pattern recognition, and the multimedia area have growth briskly during the past decade since there is an expanding need for semantically understanding the content of image and video data from the predominant images and videos sharing associations such as Flickr, Facebook, YouTube, etc. However, the conduct of vision and multimedia understanding system is heavily vulnerable to the choice of data representation. The output of computer vision is a depiction or an interpretation or some quantitative assessment of the structures in the 3D scene, video coding and streaming in support of vision applications, vision-directed compression.   

  • 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
  • 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
  • Applications and research
  • Pattern recognition

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