147 search results - page 10 / 30 » A Riemannian Framework for Tensor Computing |
ICASSP
2009
IEEE
13 years 6 months ago
2009
IEEE
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
DAGM
1997
Springer
14 years 22 days ago
1997
Springer
Using the 3-dimensional structure tensor, dense displacement vector fields (DVF) can be computed with subpixel accuracy. The approach is based on the detection of linear symmetrie...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
The covariance region descriptor recently proposed in [1] has been proved robust and versatile for a modest computational cost. The covariance matrix enables efficient fusion of d...