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… (More)
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Papers overview

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2010
2010
In this paper, we propose an efficient method for drawing shape samples using a point distribution model (PDM) that is… (More)
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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… (More)
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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… (More)
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2005
2005
Due to the seemingly uniqueness of physiological and behavioral characteristics of each individual, writer identification has… (More)
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Highly Cited
2001
Highly Cited
2001
In this paper 1 we show how a dense surface model of the human face can be built from a population of examples. A technique that… (More)
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Highly Cited
1999
Highly Cited
1999
This paper presents a new technique for the automatic model-based segmentation of three-dimensional (3-D) objects from volumetric… (More)
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Highly Cited
1998
Highly Cited
1998
This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using… (More)
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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… (More)
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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… (More)
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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… (More)
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