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» Image segmentation in a kernel-induced space
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CVPR
2007
IEEE
14 years 10 months ago
Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model
This paper proposes a novel model-guided segmentation framework utilizing a statistical surface wavelet model as a shape prior. In the model building process, a set of training sh...
Yang Li, Tiow Seng Tan, Ihar Volkau, Wieslaw L. No...
IJCV
2007
178views more  IJCV 2007»
13 years 8 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
In this article we present the integration of 3-D shape knowledge into a variational model for level set based image segmentation and contour based 3-D pose tracking. Given the sur...
Bodo Rosenhahn, Thomas Brox, Joachim Weickert
CVPR
2005
IEEE
14 years 10 months ago
Segmentation of a Piece-Wise Planar Scene from Perspective Images
We study and compare two novel embedding methods for segmenting feature points of piece-wise planar structures from two (uncalibrated) perspective images. We show that a set of di...
Allen Y. Yang, Shankar Rao, Andrew Wagner, Yi Ma
IPMI
2005
Springer
14 years 8 months ago
A Riemannian Approach to Diffusion Tensor Images Segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images. Our approach is grounded on the theoretically well-founded differential...
Christophe Lenglet, Mikaël Rousson, Rachid De...
ICIP
2008
IEEE
14 years 9 months ago
Supervised image segmentation via ground truth decomposition
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
Ilya Levner, Russell Greiner, Hong Zhang