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102
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ICIP
2001
IEEE
16 years 1 months ago
2001
IEEE
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
115
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BMVC
2010
14 years 9 months ago
2010
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
3DPVT
2004
IEEE
15 years 3 months ago
2004
IEEE
This paper presents a framework for dynamic 3D shape and motion reconstruction from multi-viewpoint images using a deformable mesh model. By deforming a mesh at a frame to that at...
116
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
121
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ICCV
2009
IEEE
16 years 3 months ago
2009
IEEE
Shape correspondence, which aims at accurately identifying corresponding landmarks from a given population of shape instances, is a very challenging step in constructing a statisti...