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» Shape Priors using Manifold Learning Techniques
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IPMI
2009
Springer
15 years 6 months ago
Dense Registration with Deformation Priors
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
Ben Glocker, Nikos Komodakis, Nassir Navab, Georgi...
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ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
15 years 11 days ago
Visual path following on a manifold in unstructured three-dimensional terrain
— This paper describes the design and testing of a technique to enable long-range autonomous navigation using a stereo camera as the only sensor. During a learning phase, the rov...
Paul Timothy Furgale, Timothy D. Barfoot
CVPR
2008
IEEE
16 years 3 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua
ICCV
2007
IEEE
16 years 3 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
ISBI
2008
IEEE
16 years 2 months ago
A fast and accurate tracking algorithm of left ventricles in 3D echocardiography
Tracking of left ventricles in 3D echocardiography is a challenging topic because of the poor quality of ultrasound images and the speed consideration. In this paper, a fast and a...
Lin Yang, Bogdan Georgescu, Yefeng Zheng, David J....