Sciweavers

621 search results - page 7 / 125
» Parameter Estimation Using Kalman Filters with Constraints
Sort
View
VR
2003
IEEE
267views Virtual Reality» more  VR 2003»
13 years 12 months ago
An Experiment Comparing Double Exponential Smoothing and Kalman Filter-Based Predictive Tracking Algorithms
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
Joseph J. LaViola Jr.
IJSR
2010
153views more  IJSR 2010»
13 years 4 months ago
A Bank of Unscented Kalman Filters for Multimodal Human Perception with Mobile Service Robots
A new generation of mobile service robots could be ready soon to operate in human environments if they can robustly estimate position and identity of surrounding people. Researcher...
Nicola Bellotto, Huosheng Hu
MICCAI
2009
Springer
14 years 7 months ago
Two-Tensor Tractography Using a Constrained Filter
We describe a technique to simultaneously estimate a weighted, positive-definite multi-tensor fiber model and perform tractography. Existing techniques estimate the local fiber ori...
James G. Malcolm, Martha Elizabeth Shenton, Yoge...
ECCV
1996
Springer
14 years 8 months ago
Elastically Adaptive Deformable Models
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...
Dimitris N. Metaxas, Ioannis A. Kakadiaris
DAGM
2007
Springer
14 years 26 days ago
Recursive Estimation with Implicit Constraints
Recursive estimation or Kalman filtering usually relies on explicit model functions, that directly and explicitly describe the effect of the parameters on the observations. Howeve...
Richard Steffen, Christian Beder