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» A framework for estimation of orientation and velocity
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ICPR
2000
IEEE
14 years 8 months ago
Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models
Motion estimation in image sequences is an important step in many computer vision and image processing applications. Several methods for solving this problem have been proposed, b...
Gunnar Farnebäck
MBEC
2010
157views Communications» more  MBEC 2010»
13 years 2 months ago
Ambulatory human motion tracking by fusion of inertial and magnetic sensing with adaptive actuation
Over the last years, inertial sensing has proven to be a suitable ambulatory alternative to traditional human motion tracking based on optical position measurement systems, which a...
H. Martin Schepers, Daniel Roetenberg, Peter H. Ve...
ICIP
2007
IEEE
14 years 2 months ago
Highly Accurate Orientation Estimation using Steerable Filters
This paper presents a generalized theoretical framework for designing accurate steerable filters for orientation estimation. We derive necessary properties of orientation estimat...
Jakub K. Kominiarczuk, Kai Krajsek, Rudolf Mester
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
14 years 2 months ago
Heart surface motion estimation framework for robotic surgery employing meshless methods
Abstract— A novel heart surface motion estimation framework for a robotic surgery on a stabilized beating heart is proposed. It includes an approach for the reconstruction and pr...
Evgeniya Bogatyrenko, Uwe D. Hanebeck, Gábo...
ICASSP
2008
IEEE
14 years 2 months ago
Optical flow robust estimation in a hybrid multi-resolution MRF framework
We propose in this paper a robust multi-resolution technique to estimate dense velocity field from image sequences. It couples a Gaussian pyramidal down-sampling decomposition to...
Cyril Cassisa, Véronique Prinet, Liang Shao...