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EMMCVPR
2003
Springer
15 years 11 months ago
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling
Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represe...
Debora Gil, Petia Radeva
CVPR
2008
IEEE
16 years 8 months ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
CVPR
2008
IEEE
16 years 8 months ago
Hierarchical, learning-based automatic liver segmentation
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bog...
CVPR
2008
IEEE
16 years 22 days ago
Modeling the structure of multivariate manifolds: Shape maps
We propose a shape population metric that reflects the interdependencies between points observed in a set of examples. It provides a notion of topology for shape and appearance m...
Georg Langs, Nikos Paragios
ICCV
2005
IEEE
15 years 12 months ago
Shape from Symmetry
We describe a technique for reconstructing probable occluded surfaces from 3-D range images. The technique exploits the fact that many objects possess shape symmetries that can be...
Sebastian Thrun, Ben Wegbreit