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» A Framework for Implicitly Tracking Data
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135
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ISBI
2006
IEEE
16 years 4 months ago
Clinical DT-MRI estimation, smoothing and fiber tracking with Log-Euclidean metrics
Diffusion tensor MRI is an imaging modality that is gaining importance in clinical applications. However, in a clinical environment, data have to be acquired rapidly, often at the...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Ni...
141
Voted
VLSM
2005
Springer
15 years 8 months ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
PAMI
2008
188views more  PAMI 2008»
15 years 3 months ago
Segmentation and Tracking of Multiple Humans in Crowded Environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
Tao Zhao, Ramakant Nevatia, Bo Wu
HICSS
2003
IEEE
126views Biometrics» more  HICSS 2003»
15 years 8 months ago
Measuring Cognitive Load with EventStream Software Framework
We have constructed “EventStream” data collection and analysis software framework to support a wide variety of sensors that measure user’s physical state. The framework’s ...
Christoph Aschwanden, Jan Stelovsky
135
Voted
IJCV
2000
161views more  IJCV 2000»
15 years 3 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet