Sparse Feature Extraction for Pose-Tolerant Face Recognition

  title={Sparse Feature Extraction for Pose-Tolerant Face Recognition},
  author={Ramzi Abiantun and Utsav Prabhu and Marios Savvides},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
Automatic face recognition performance has been steadily improving over years of research, however it remains significantly affected by a number of factors such as illumination, pose, expression, resolution and other factors that can impact matching scores. The focus of this paper is the pose problem which remains largely overlooked in most real-world applications. Specifically, we focus on one-to-one matching scenarios where a query face image of a random pose is matched against a set of… CONTINUE READING
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Multi- PIE

  • R. Gross, I. Matthews, J. Cohn, T. Kanade, S. Baker
  • Proc. 8th IEEE Int. Conf. Autom. Face Gesture…
  • 2008
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