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» The intrinsic dimensionality of graphs
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CVPR
2003
IEEE
14 years 11 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
DAGM
2007
Springer
14 years 1 months ago
Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts
We address the problem of describing the mean object for a set of planar shapes in the case that the considered dissimilarity measures are semi-metrics, i.e. in the case that the t...
Frank R. Schmidt, Eno Töppe, Daniel Cremers, ...
CVGIP
2004
121views more  CVGIP 2004»
13 years 9 months ago
Skeleton-driven 2D distance field metamorphosis using intrinsic shape parameters
In this article a novel algorithm is presented for 2D shape interpolation using the intrinsic shape parameters of a piecewise linear curve. The skeletons of two given shapes are c...
WuJun Che, XunNian Yang, GuoZhao Wang
ECCV
2006
Springer
14 years 11 months ago
Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
Tony Lin, Hongbin Zha, Sang Uk Lee
TSP
2010
13 years 4 months ago
On local intrinsic dimension estimation and its applications
In this paper, we present multiple novel applications for local intrinsic dimension estimation. There has been much work done on estimating the global dimension of a data set, typi...
Kevin M. Carter, Raviv Raich, Alfred O. Hero