466 search results - page 20 / 94 » Shape Priors using Manifold Learning Techniques |
109
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PR
2006
15 years 1 months ago
2006
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
117
Voted
EDUTAINMENT
2008
Springer
15 years 3 months ago
2008
Springer
Reconstruction of a real tree from scattered scanned points is a new challenge in virtual reality. Although many progresses are made on main branch structures and overall shape of ...
114
Voted
MICCAI
2005
Springer
16 years 2 months ago
2005
Springer
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
111
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ICCV
2007
IEEE
15 years 8 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
116
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...