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» Multi-mode representation of motion data
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TMI
2011
108views more  TMI 2011»
13 years 2 months ago
Incorporation of a Left Ventricle Finite Element Model Defining Infarction Into the XCAT Imaging Phantom
—The 4D extended Cardiac-Torso (XCAT) phantom was developed to provide a realistic and flexible model of the human anatomy and cardiac and respiratory motions for use in medical ...
Alexander I. Veress, William Paul Segars, Benjamin...
ECCV
2010
Springer
14 years 1 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
ICRA
2010
IEEE
121views Robotics» more  ICRA 2010»
13 years 6 months ago
Planes, trains and automobiles - autonomy for the modern robot
—We are concerned with enabling truly large scale autonomous navigation in typical human environments. To this end we describe the acquisition and modeling of large urban spaces ...
Gabe Sibley, Christopher Mei, Ian D. Reid, Paul M....
CVPR
2009
IEEE
15 years 2 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
ECCV
2004
Springer
14 years 9 months ago
On Refractive Optical Flow
This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object fr...
Sameer Agarwal, Satya P. Mallick, David J. Kriegma...