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» 2D and 3D Shape Based Segmentation Using Deformable Models
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ICCV
2011
IEEE
13 years 9 months ago
Unwrapping Low-rank Textures on Generalized Cylindrical Surfaces
In this paper, we show how to reconstruct both 3D shape and 2D texture of a class of surfaces from a single perspective image. We consider the so-called the generalized cylindrica...
Zhengdong Zhang, Xiao Liang, Yi Ma
FIMH
2007
Springer
15 years 3 months ago
A Hyperelastic Deformable Template for Cardiac Segmentation in MRI
This article proposes a hyperelastic 3D deformable template for the segmentation of soft structures. It relies on a template, which is a topological, geometrical and material model...
Youssef Rouchdy, Jérôme Pousin, Jo&eu...
SCALESPACE
2009
Springer
15 years 4 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
CGF
2008
192views more  CGF 2008»
14 years 9 months ago
Non-Rigid Registration Under Isometric Deformations
We present a robust and efficient algorithm for the pairwise non-rigid registration of partially overlapping 3D surfaces. Our approach treats non-rigid registration as an optimiza...
Qi-Xing Huang, Bart Adams, Martin Wicke, Leonidas ...
ISBI
2009
IEEE
15 years 4 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...