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Arandjelovic et al., 2005 - Google Patents

Face recognition with image sets using manifold density divergence

Arandjelovic et al., 2005

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Document ID
11685628453735530517
Author
Arandjelovic O
Shakhnarovich G
Fisher J
Cipolla R
Darrell T
Publication year
Publication venue
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)

External Links

Snippet

In many automatic face recognition applications, a set of a person's face images is available rather than a single image. In this paper, we describe a novel method for face recognition using image sets. We propose a flexible, semi-parametric model for learning probability …
Continue reading at dro.deakin.edu.au (PDF) (other versions)

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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