542 search results - page 11 / 109 » PCA Gaussianization for image processing |
116
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CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
ICCV
2001
IEEE
16 years 1 months ago
2001
IEEE
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
ICIP
2003
IEEE
16 years 1 months ago
2003
IEEE
This paper presents a novel approach to image denoising using adaptive principal components. Our assumptions are that the image is corrupted by additive white Gaussian noise. The ...
ICANN
2005
Springer
15 years 5 months ago
2005
Springer
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
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BMVC
2010
14 years 9 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...