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» Automated Feature Registration for Robust Tracking Methods
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ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
CVPR
2005
IEEE
15 years 10 months ago
Hand Tracking with Flocks of Features
This paper introduces “Flocks of Features,” a fast tracking method for non-rigid and highly articulated objects such as hands. It combines KLT features and a learned foregroun...
Mathias Kölsch, Matthew Turk
ISBI
2006
IEEE
16 years 5 months ago
Automatic registration of mammograms using texture-based anisotropic features
In this paper, an automated registration framework is proposed to identify the differences between corresponding mammographic images. The deformation between a pair of mammograms ...
Kexiang Wang, Hong Qin, Paul R. Fisher, Wei Zhao
FIMH
2009
Springer
15 years 11 months ago
Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates
Automated motion tracking of the myocardium from 3D echocardiography provides insight into heart’s architecture and function. We present a method for 3D cardiac motion tracking u...
Andriy Myronenko, Xubo B. Song, David J. Sahn
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
15 years 10 months ago
Video with Ground-Truth for Validation of Visual Registration, Tracking and Navigation Algorithms
A fundamental task in computer vision is that of determining the position and orientation of a moving camera relative to an observed object or scene. Many such visual tracking alg...
Rustam Stolkin, Alistair Greig, John Gilby