SIAMIS
2011
13 years 7 months ago
2011
We define a novel metric on the space of closed planar curves which decomposes into three intuitive components. According to this metric centroid translations, scale changes and ...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
PR
2007
14 years 7 days ago
2007
In this paper, we make use of the relationship between the Laplace–Beltrami operator and the graph Laplacian, for the purposes of embedding a graph onto a Riemannian manifold. T...
FOCM
2008
14 years 24 days ago
2008
We consider the problem of finding a singularity of a differentiable vector field X defined on a complete Riemannian manifold. We prove a unified result for the existence and local...
CCCG
2003
14 years 2 months ago
2003
G. Leibon and D. Letscher showed that for general and sufficiently dense point set its Delaunay triangulation and Voronoi diagram in Riemannian manifold exist. They also proposed ...
ICIP
1998
IEEE
14 years 5 months ago
1998
IEEE
1 In this paper, the segmentation problem is formulated as a problem of segmenting a Riemannian manifold. The image domain is endowed with an anisotropic metric and its segmentatio...
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I am a Ph.D. student in Medical Image Analysis under a joint Ph.D. program between China and France. I work with Prof. Tianzi Jiang in RCCM, LIAMA, CASIA, and Prof. Rachid Derich...
ECCV
2006
Springer
15 years 2 months ago
2006
Springer
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...
ECCV
2008
Springer
15 years 2 months ago
2008
Springer
This paper shows how computational Riemannian manifold can be used to solve several problems in computer vision and graphics. Indeed, Voronoi segmentations and Delaunay graphs comp...
CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
The geometric median is a classic robust estimator of centrality for data in Euclidean spaces. In this paper we formulate the geometric median of data on a Riemannian manifold as ...