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We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whilst still maintaining performance. Our contributions include: (1) a new 2D extension of SRC algorithm; (2) an incremental computing procedure which can reduce the eigen decomposition expense of each 2D-SRC for sequential...
This paper proposes an innovative algorithm named Gabor boost linear discriminant analysis (GBLDA) for face recognition. In our method, we want to estimate the distribution of high dimensional Gabor wavelet (GW) features in a low dimensional LDA subspace without computing the GW feature of an input image. The computational complexity can be reduced significantly. Hence, GBLDA is suitable for real-time...
High speed security and defense applications demand a quick decision for face recognition which requires a computationally time-efficient algorithm. These algorithms are primarily used to generate egien values. The generation of eigen values by employing decomposition method normally provides solution in O(n3) time whereas an orthogonalizational process, called fast principal component analysis (PCA)...
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