86 search results - page 3 / 18 » Learning Nonlinear Image Manifolds by Global Alignment of Lo... |
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
The appearance of a scene is a function of the scene contents, the lighting, and the camera pose. A set of n-pixel images of a non-degenerate scene captured from different perspec...
ICCV
2005
IEEE
13 years 11 months ago
2005
IEEE
The space of images is known to be a non-linear subspace that is difficult to model. This paper derives an algorithm that walks within this space. We seek a manifold through the ...
CVPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper, we address the problem of classifying image sets, each of which contains images belonging to the same class but covering large variations in, for instance, viewpoin...
ICCV
2005
IEEE
13 years 11 months ago
2005
IEEE
This paper investigates the appearance manifold of facial expression: embedding image sequences of facial expression from the high dimensional appearance feature space to a low dim...