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» Comparing distributions and shapes using the kernel distance
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ICPR
2008
IEEE
13 years 11 months ago
Kernel functions for robust 3D surface registration with spectral embeddings
Registration of 3D surfaces is a critical step for shape analysis. Recent studies show that spectral representations based on intrinsic pairwise geodesic distances between points ...
Xiuwen Liu, Arturo Donate, Matthew Jemison, Washin...
DGCI
2003
Springer
13 years 10 months ago
Geodesic Object Representation and Recognition
This paper describes a shape signature that captures the intrinsic geometric structure of 3D objects. The primary motivation of the proposed approach is to encode a 3D shape into a...
A. Ben Hamza, Hamid Krim

Publication
322views
13 years 9 months ago
Three-dimensional point cloud recognition via distributions of geometric distances
Ageometric framework for the recognition of three-dimensional objects represented by point clouds is introducedin this paper. The proposed approach is based on comparing distribut...
Mona Mahmoudi, Guillermo Sapiro
ICML
2010
IEEE
13 years 5 months ago
Fast Neighborhood Subgraph Pairwise Distance Kernel
We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...
Fabrizio Costa, Kurt De Grave
CBMS
2009
IEEE
13 years 11 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...