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Jiang et al., 2017 - Google Patents

Patch‐based principal component analysis for face recognition

Jiang et al., 2017

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Document ID
15690788653002400483
Author
Jiang T
Huang T
Zhao X
Ma T
Publication year
Publication venue
Computational intelligence and neuroscience

External Links

Snippet

We have proposed a patch‐based principal component analysis (PCA) method to deal with face recognition. Many PCA‐based methods for face recognition utilize the correlation between pixels, columns, or rows. But the local spatial information is not utilized or not fully …
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Classifications

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    • G06K9/20—Image acquisition
    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G06K9/3233—Determination of region of interest
    • G—PHYSICS
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    • G—PHYSICS
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    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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