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» Applications of parametric maxflow in computer vision
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ECCV
2004
Springer
13 years 11 months ago
Combining Simple Models to Approximate Complex Dynamics
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICCV
2011
IEEE
12 years 6 months ago
Home 3D Body Scans from Noisy Image and Range Data
The 3D shape of the human body is useful for applications in fitness, games and apparel. Accurate body scanners, however, are expensive, limiting the availability of 3D body mode...
Alex Weiss, David Hirshberg, Michael Black
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
14 years 6 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
SCALESPACE
2007
Springer
14 years 11 days ago
A Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces
In clinical applications where structural asymmetries between homologous shapes have been correlated with pathology, the questions of definition and quantification of ‘asymmetr...
Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri, Step...
CVPR
2007
IEEE
14 years 8 months ago
Statistical Shape Analysis of Multi-Object Complexes
An important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained by standard volumetri...
Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J....