Russ et al., 2006 - Google Patents
3D face recognition using 3D alignment for PCARuss 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 …
- 238000000513 principal component analysis 0 abstract description 56
Classifications
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G06K9/6211—Matching configurations of points or features, e.g. constellation matching
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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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