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Saeidi et al., 2019 - Google Patents

Single sample face recognition using multicross pattern and learning discriminative binary features

Saeidi et al., 2019

Document ID
9365296583099726561
Author
Saeidi N
Karshenas H
Mohammadi H
Publication year
Publication venue
Journal of Applied Security Research

External Links

Snippet

Binary feature descriptors, require considerable amount of information to be applicable in wide appearance variations, which contradicts the single sample per person (SSPP) problem. To address this challenge, a novel binary feature learning method called …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • 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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