Non-negative matrix factorization framework for face recognition

  title={Non-negative matrix factorization framework for face recognition},
  author={Yuan Wang and Yunde Jia and Changbo Hu and Matthew Turk},
Non-negative Matrix Factorization (NMF) is a part-based image representation method which adds a non-negativity constraint to matrix factorization. NMF is compatible with the intuitive notion of combining parts to form a whole face. In this paper, we propose a framework of face recognition by adding NMF constraint and classifier constraints to matrix factorization to get both intuitive features and good recognition results. Based on the framework, we present two novel subspace methods: Fisher… CONTINUE READING
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