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» A Statistical Shape Model without Using Landmarks
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ECCV
2002
Springer
14 years 7 months ago
3D Statistical Shape Models Using Direct Optimisation of Description Length
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
Rhodri H. Davies, Carole J. Twining, Timothy F. Co...
IPMI
2005
Springer
14 years 6 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
ICPR
2004
IEEE
14 years 6 months ago
Parameterisation Invariant Statistical Shape Models
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
Johan Karlsson, Anders Ericsson, Kalle Åstr&...
ICCV
2007
IEEE
14 years 7 months ago
Correspondence Establishment in Statistical Modeling of Shapes with Arbitrary Topology
Correspondence establishment is a key step in statistical shape model building. There are several automated methods for solving this problem in 3D, but they usually can only handl...
Ekaterina Syrkina, Gábor Székely, Mi...
PAMI
2012
11 years 7 months ago
Nonlinear Shape Registration without Correspondences
—In this paper, we propose a novel framework to estimate the parameters of a diffeomorphism that aligns a known shape and its distorted observation. Classical registration method...
Csaba Domokos, Jozsef Nemeth, Zoltan Kato