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» Learning to Align: A Statistical Approach
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FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
14 years 3 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
ICCV
2011
IEEE
12 years 11 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
CVIU
2008
120views more  CVIU 2008»
13 years 11 months ago
Trajectory fusion for three-dimensional volume reconstruction
We address the 3D volume reconstruction problem from depth adjacent sub-volumes acquired by a confocal laser scanning microscope (CLSM). Our goal is to align the sub-volumes by es...
Sang-Chul Lee, Peter Bajcsy
ISBI
2008
IEEE
14 years 11 months ago
Quantitative genetic modeling of lateral ventricular shape and volume using multi-atlas fluid image alignment in twins
Despite substantial progress in measuring the 3D profile of anatomical variations in the human brain, their genetic and environmental causes remain enigmatic. We developed an auto...
Yi-Yu Chou, Natasha Lepore, Marina Barysheva, Ming...
BMCBI
2006
126views more  BMCBI 2006»
13 years 11 months ago
A minimally invasive multiple marker approach allows highly efficient detection of meningioma tumors
Background: The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinf...
Andreas Keller, Nicole Ludwig, Nicole Comtesse, An...