Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares

  title={Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares},
  author={Muhammad Uzair and Arif Mahmood and Ajmal S. Mian},
Hyperspectral imaging offers new opportunities for inter-person facial discrimination. However, due to the high dimensionality of hyperspectral data, discriminative feature extraction for face recognition is more challenging than 2D images. For dimensionality reduction and feature extraction most of the previous approaches just sub sampled the hyperspectral data [5, 6, 9] or used simple PCA [3]. In contrast, we propose the three dimensional Discrete Cosine Transform (3D-DCT) for feature… CONTINUE READING
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Robila . Toward hyperspectral face recognition

  • A Stefan
  • In Proceddings of SPIE ISTE Imaging
  • 2008

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