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CVRMED
1995
Springer
15 years 10 months ago
Medical Image Segmentation Using Topologically Adaptable Snakes
This paper presents a technique for the segmentation of anatomic structures in medical images using a topologically adaptable snakes model. The model is set in the framework of dom...
Tim McInerney, Demetri Terzopoulos
DAGM
2006
Springer
15 years 10 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
MICCAI
2009
Springer
16 years 3 months ago
A Spatio-temporal Atlas of the Human Fetal Brain with Application to Tissue Segmentation
Modeling and analysis of MR images of the early developing human brain is a challenge because of the transient nature of different tissue classes during brain growth. To address th...
Piotr A. Habas, Kio Kim, François Rousseau,...
ECCV
2008
Springer
16 years 8 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
CORR
2011
Springer
209views Education» more  CORR 2011»
14 years 10 months ago
Analysis and Improvement of Low Rank Representation for Subspace segmentation
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Siming Wei, Zhouchen Lin