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Point distribution model

Known as: PDM 
The point distribution model is a model for representing the mean geometry of a shape and some statistical modes of geometric variation inferred from… Expand
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Papers overview

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Highly Cited
2009
Highly Cited
2009
We present an accurate and robust framework for detecting and segmenting faces, localizing landmarks, and achieving fine… Expand
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Highly Cited
2007
Highly Cited
2007
This paper proposes novel ways to deal with pose variations in a 2-D face recognition scenario. Using a training set of sparse… Expand
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2003
2003
Segmentation of thrombus in abdominal aortic aneurysms is complicated by regions of low boundary contrast and by the presence of… Expand
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1997
1997
A method for corresponding the boundaries of two shapes is presented. The algorithm locates a matching pair of sparse polygonal… Expand
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1996
1996
The Point Distribution Model (PDM) is useful for many tasks involving the location or tracking of deformable objects. However… Expand
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Highly Cited
1995
Highly Cited
1995
This paper describes a method of combining two approaches to modelling flexible objects. Modal analysis using finite element… Expand
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Highly Cited
1994
Highly Cited
1994
Point Distribution Models (PDMs) are statistically derived flexible templates which are trained on sets of examples of the object… Expand
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1993
1993
Point distribution models are flexible shape models in which a shape is represented by a set of labelled points on the boundary… Expand
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Highly Cited
1992
Highly Cited
1992
We describe ‘Active Shape Models’ which iteratively adapt to refine estimates of the pose, scale and shape of models of image… Expand
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Highly Cited
1992
Highly Cited
1992
We describe 'Active Shape Models' which iteratively adapt to refine estimates of the pose, scale and shape of models of image… Expand
Is this relevant?