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IPMI
2007
Springer
16 years 3 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
115
Voted
NIPS
2000
15 years 3 months ago
Keeping Flexible Active Contours on Track using Metropolis Updates
Condensation, a form of likelihood-weighted particle filtering, has been successfully used to infer the shapes of highly constrained "active" contours in video sequences...
Trausti T. Kristjansson, Brendan J. Frey
PAMI
2008
145views more  PAMI 2008»
15 years 2 months ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang
PG
2002
IEEE
15 years 7 months ago
Approximation with Active B-Spline Curves and Surfaces
An active contour model for parametric curve and surface approximation is presented. The active curve or surface adapts to the model shape to be approximated in an optimization al...
Helmut Pottmann, Stefan Leopoldseder, Michael Hofe...
CVPR
2004
IEEE
16 years 4 months ago
A Fast Multigrid Implicit Algorithm for the Evolution of Geodesic Active Contours
Active contour models are among the most popular PDE-based tools in computer vision. In this paper we present a new algorithm for the fast evolution of geodesic active contours an...
George Papandreou, Petros Maragos