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Russ et al., 2006 - Google Patents

3D face recognition using 3D alignment for PCA

Russ et al., 2006

Document ID
4080832031756052341
Author
Russ T
Boehnen C
Peters T
Publication year
Publication venue
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)

External Links

Snippet

This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA for maximum data compression and good generalization performance for new …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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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
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G06K9/6203Shifting or otherwise transforming the patterns to accommodate for positional errors
    • G06K9/6211Matching configurations of points or features, e.g. constellation matching
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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    • G06K9/00275Holistic features and representations, i.e. based on the facial image taken as a whole
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    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person
    • G06T2207/30201Face

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