7536 search results - page 66 / 1508 » Localized Components Analysis |
148
Voted
CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
145
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ECCV
2002
Springer
16 years 6 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
151
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ICIP
2008
IEEE
16 years 6 months ago
2008
IEEE
This paper proposes a new robust 3-D object blind watermarking method using constraints in the spectral domain. Mesh watermarking in spectral domain has the property of spreading ...
143
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ACIVS
2008
Springer
15 years 11 months ago
2008
Springer
This paper presents the design and real-time implementation of a fall-detection system, aiming at detecting fall incidents in unobserved home situations. The setup employs two fix...
144
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NIPS
2008
15 years 6 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...