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» Model Based Pose Estimator Using Linear-Programming
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116
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ICRA
1998
IEEE
111views Robotics» more  ICRA 1998»
15 years 6 months ago
Weighting Observations: The Use of Kinematic Models in Object Tracking
We describe a model-based object tracking system that updates the configuration parameters of an object model based upon information gathered from a sequence of monocular images. ...
Kevin Nickels, Seth Hutchinson
114
Voted
ICIP
2003
IEEE
15 years 8 months ago
Parameter estimation for spatial random trees using the EM algorithm
A new class of multiscale multidimensional stochastic processes called spatial random trees was recently introduced in [9]. The model is based on multiscale stochastic trees with ...
Ilya Pollak, Jeffrey Mark Siskind, Mary P. Harper,...
115
Voted
WSC
2008
15 years 5 months ago
Smooth flexible models of nonhomogeneous poisson processes using one or more process realizations
We develop and evaluate a semiparametric method to estimate the mean-value function of a nonhomogeneous Poisson process (NHPP) using one or more process realizations observed over...
Michael E. Kuhl, Shalaka C. Deo, James R. Wilson
125
Voted
MMM
2005
Springer
172views Multimedia» more  MMM 2005»
15 years 8 months ago
A Novel Approach of 3D Reconstruction of Human Face Using Monocular Camera
Three-dimensional model acquisition of an object is essential in many multimedia applications. Constructing three-dimensional models of objects from two-dimensional images is an o...
Ben Yip, Jesse S. Jin
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
15 years 8 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...