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Di Martino et al., 2018 - Google Patents

Liveness detection using implicit 3D features

Di Martino et al., 2018

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Document ID
2729653738518512606
Author
Di Martino J
Qiu Q
Nagenalli T
Sapiro G
Publication year
Publication venue
arXiv preprint arXiv:1804.06702

External Links

Snippet

Spoofing attacks are a threat to modern face recognition systems. In this work we present a simple yet effective liveness detection approach to enhance 2D face recognition methods and make them robust against spoofing attacks. We show that the risk to spoofing attacks …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00228Detection; Localisation; Normalisation
    • G06K9/00234Detection; Localisation; Normalisation using pixel segmentation or colour matching
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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
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    • G06F17/30799Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content

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