13 search results - page 1 / 3 » Probabilistic tracking on Riemannian manifolds |
ICPR
2008
IEEE
14 years 5 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...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
ICASSP
2009
IEEE
13 years 2 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...
SIAMIS
2011
12 years 11 months ago
2011
We define a novel metric on the space of closed planar curves which decomposes into three intuitive components. According to this metric centroid translations, scale changes and ...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We present an online, recursive filtering technique to model linear dynamical systems that operate on the state space of symmetric positive definite matrices (tensors) that lie on...