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A proposed PCNN features quality optimization technique for pose-invariant 3D Arabic sign language recognition.

A. Samir ElonsMagdy Aboull-ElaMohamed Fahmy Tolba
Published in: Appl. Soft Comput. (2013)
Keyphrases
  • sign language recognition
  • pose invariant
  • feature vectors
  • sign language
  • high quality
  • image features
  • gesture recognition
  • computer vision
  • feature space
  • feature extraction
  • multiscale
  • visual tracking