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93
Voted
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
ICIP
2010
IEEE
14 years 10 months ago
2010
IEEE
Transformation manifolds are quite attractive for image analysis applications that require transformation invariance properties. The geometric structure of a transformation manifo...
87
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
This paper presents an algorithm for multiscale image segmentation. Towards this, it proposes a new region model, that of a homogenous region surrounded by ramp discontinuities (a...
139
click to vote
ECCV
1998
Springer
16 years 2 months ago
1998
Springer
Abstract. This paper presents a new framework for analyzing the geometry of multiple 3D scene points from multiple uncalibrated images, based on decomposing the projection of these...
136
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ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
The Mahalanobis metric was proposed by extending the Mahalanobis distance to provide a probabilistic distance for a non-normal distribution. The Mahalanobis metric equation is a n...