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» Geodesic Methods in Computer Vision and Graphics
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ICCV
2005
IEEE
15 years 11 months ago
Deformation Invariant Image Matching
We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D spac...
Haibin Ling, David W. Jacobs
CVPR
2012
IEEE
13 years 10 days ago
Sasaki metrics for analysis of longitudinal data on manifolds
Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitu...
Prasanna Muralidharan, P. Thomas Fletcher
VISUALIZATION
2002
IEEE
15 years 2 months ago
Fast Visualization of Plane-Like Structures in Voxel Data
We present a robust, noise-resistant criterion characterizing planelike skeletons in binary voxel objects. It is based on a distance map and the geodesic distance along the object...
Steffen Prohaska, Hans-Christian Hege
ETVC
2008
14 years 11 months ago
Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing
s of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing Frank Nielsen Ecole Polytechnique, Palaiseau, France Sony CSL, Tokyo, Japan Abstract. We list the abstracts o...
Frank Nielsen
CVPR
2012
IEEE
13 years 10 days ago
Intrinsic shape context descriptors for deformable shapes
In this work, we present intrinsic shape context (ISC) descriptors for 3D shapes. We generalize to surfaces the polar sampling of the image domain used in shape contexts: for this...
Iasonas Kokkinos, Michael M. Bronstein, Roee Litma...