Maximizing all margins: Pushing face recognition with Kernel Plurality

  • Authors:
  • Ritwik Kumar;Arunava Banerjee;Baba C. Vemuri;Hanspeter Pfister

  • Affiliations:
  • IBM Research - Almaden, USA;University of Florida, USA;University of Florida, USA;Harvard University, USA

  • Venue:
  • ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
  • Year:
  • 2011

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Abstract

We present two theses in this paper: First, performance of most existing face recognition algorithms improves if instead of the whole image, smaller patches are individually classified followed by label aggregation using voting. Second, weighted plurality