13 search results - page 2 / 3 » Probabilistic tracking on Riemannian manifolds |
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low comput...
CVPR
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
IVC
2006
13 years 5 months ago
2006
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...