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Symmetry-Factored Statistical Modelling of Craniofacial Shape

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
We present a new method for symmetry-factored statistical modelling of 3D shape. Our method comprises three novel components. First, a means to symmetrise a 3D mesh, regularised using the Laplace-Beltrami operator. Second, a symmetry-aware variant of Generalized Procrustes Analysis (GPA).
Hang Dai   +3 more
openaire   +1 more source

Automatic Construction of Biventricular Statistical Shape Models

2003
This paper presents a method for the generation of landmarks in three-dimensional shapes and the construction of the corresponding 3-D statistical shape models. The technique relies on establishing shape correspondances via a volumetric non-rigid registration technique using multi-resolution B-spline deformations. This approach presents some advantages
Alejandro F. Frangi   +3 more
openaire   +2 more sources

A statistical shape model of trochlear dysplasia of the knee

The Knee, 2014
Trochlear dysplasia is known as the primary predisposing factor for patellar dislocation. Current methods to describe trochlear dysplasia are mainly qualitative or based on a limited number of discrete measurements. The purpose of this study is to apply statistical shape analysis to take the full geometrical complexity of trochlear dysplasia into ...
A, Van Haver   +6 more
openaire   +2 more sources

Building optimal 2D statistical shape models

Image and Vision Computing, 2003
Statistical shape models are used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need, during training, to establish a dense correspondence across a training set of segmented shapes. We show that model construction can be treated as an optimisation problem, automating the process and guaranteeing the ...
Rhodri H. Davies   +4 more
openaire   +1 more source

Articulated Statistical Shape Models of the Spine

2014
The spine is a complex assembly of rigid vertebrae surrounded by various soft tissues (ligaments, spinal cord, intervertebral discs, etc.). Its motion for a given individual and its shape variations across a population are greatly influenced by this fact.
openaire   +2 more sources

Statistical Modeling of Planar Shapes

2016
As emphasized in the introduction chapter (Sect. 1.3), one of the main goals in this textbook is to develop statistical models of shapes of curves.
Anuj Srivastava, Eric P. Klassen
openaire   +1 more source

Statistical Models of Shape and Texture for Face Recognition

2006
Human faces are an example of a class of objects in which each example exhibits significant variation in shape and appearance, but which is composed of a fixed number of sub-parts which have a similar configuration in every case. For such objects we can define landmark points on each example which imply a correspondence between different examples.
Timothy F. Cootes   +2 more
openaire   +1 more source

Statistical Models of Shape

2008
Davies, R H   +2 more
openaire   +2 more sources

Approaches to modelling the shape of nanocrystals

Nano Convergence, 2021
Christina Boukouvala   +2 more
exaly  

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