379 search results - page 4 / 76 » Localization of Shapes Using Statistical Models and Stochast... |
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
DAC
2006
ACM
14 years 8 months ago
2006
ACM
A statistical model for the purpose of logic cell timing analysis in the presence of process variations is presented. A new current-based cell delay model is utilized, which can a...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Recently, nonlinear shape models have been shown to improve the robustness and flexibility of segmentation. In this paper, we propose Shape Regularized Active Contour (ShRAC) that...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
In deformable model segmentation, the geometric training process plays a crucial role in providing shape statistical priors and appearance statistics that are used as likelihoods. ...