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IROS
2007
IEEE
135views Robotics» more  IROS 2007»
15 years 11 months ago
Dynamic identification of a mitsubishi pa10-6ce robot using motion capture
—This paper discusses a method to identify dynamic parameters in a rigid-link flexible-joint robot model using motion capture. The procedure is divided into two parts. First, the...
Chris Lightcap, Scott A. Banks
HUMO
2007
Springer
15 years 6 months ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger
IJCV
1998
103views more  IJCV 1998»
15 years 4 months ago
Dense Non-Rigid Motion Estimation in Sequences of Medical Images Using Differential Constraints
We describe a new method for computing the displacement vector field in time sequences of 2D or 3D images (4D data). The method is energy-minimizing on the space of correspondence...
Serge Benayoun, Nicholas Ayache
MICCAI
2007
Springer
16 years 5 months ago
Modeling of Needle-Tissue Interaction Using Ultrasound-Based Motion Estimation
Abstract. A needle-tissue interaction model is an essential part of every needle insertion simulator. In this paper, a new experimental method for the modeling of needle-tissue int...
Ehsan Dehghan, Xu Wen, Reza Zahiri-Azar, Maud Marc...
CVPR
1997
IEEE
15 years 8 months ago
Empirical Bayesian EM-based Motion Segmentation
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
Nuno Vasconcelos, Andrew Lippman