74 search results - page 11 / 15 » Locally Linear Denoising on Image Manifolds |
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
SIGGRAPH
2010
ACM
13 years 9 months ago
2010
ACM
Manifold bootstrapping is a new method for data-driven modeling of real-world, spatially-varying reflectance, based on the idea that reflectance over a given material sample forms...
HUMO
2007
Springer
13 years 11 months ago
2007
Springer
We present a method to simultaneously estimate 3d body pose and action categories from monocular video sequences. Our approach learns a lowdimensional embedding of the pose manifol...
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
IVC
2007
13 years 5 months ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...