Statistical shape analysis

Known as: Shape analysis, Shape statistics, Statistical Shape Model 
Statistical shape analysis is an analysis of the geometrical properties of some given set of shapes by statistical methods. For instance, it could be… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1968-2017
0204019682017

Papers overview

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Highly Cited
2009
Highly Cited
2009
This paper proposes the use of the surface based Laplace-Beltrami and the volumetric Laplace eigenvalues and -functions as shape… (More)
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Highly Cited
2005
Highly Cited
2005
Mercer kernels are used for a wide range of image and signal processing tasks like de-noising, clustering, discriminant analysis… (More)
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Highly Cited
2005
Highly Cited
2005
Using a differential-geometric treatment of planar shapes, we present tools for: 1) hierarchical clustering of imaged objects… (More)
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Highly Cited
2004
Highly Cited
2004
A primary goal of statistical shape analysis is to describe the variability of a population of geometric objects. A standard… (More)
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Highly Cited
2003
Highly Cited
2003
Gait recognition has recently gained significant attention from computer vision researchers. This interest is strongly motivated… (More)
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Highly Cited
2003
Highly Cited
2003
Knowledge about the biological variability of anatomical objects is essential for statistical shape analysis and discrimination… (More)
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Highly Cited
2003
Highly Cited
2003
Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely… (More)
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Highly Cited
2002
Highly Cited
2002
This note aims at giving a brief introduction to the field of statistical shape analysis looked at from an image analysis point… (More)
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Highly Cited
2002
Highly Cited
2002
This paper presents a multiscale framework based on a medial representation for the segmentation and shape characterization of… (More)
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Highly Cited
1999
Highly Cited
1999
The goal of this work is to develop an approach to shape representation and classification that will allow us to detect and… (More)
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