35 search results - page 3 / 7 » An efficient particle filtering technique on the Grassmann m... |
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
ICIP
2005
IEEE
14 years 7 months ago
2005
IEEE
In this paper we present a technique for the tracking of textured almost planar object. The target is modeled as a noisy planar cloud of points. The tracking is led with an approp...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Localization and mapping in unknown environments becomes more difficult as the complexity of the environment increases. With conventional techniques, the cost of maintaining estim...
UAI
2000
13 years 7 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...