94 search results - page 5 / 19 » Statistical Shape Analysis via Principal Factor Analysis |
109
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VMV
2004
15 years 1 months ago
2004
Statistical shape modeling using point distribution models (PDMs) has been studied extensively for segmentation and other image analysis tasks. Methods investigated in the literat...
108
Voted
IJON
2007
14 years 11 months ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
JMIV
2006
14 years 11 months ago
2006
We address the problem of reconstructing a planar shape from a finite number of noisy measurements of its support function or its diameter function. New linear and non-linear algor...
TIP
2011
14 years 6 months ago
2011
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
139
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MICCAI
2000
Springer
15 years 3 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...