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» Unsupervised Learning for Graph Matching
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CVPR
2009
IEEE
10 years 4 months ago
Unsupervised Learning for Graph Matching
Graph matching is an important problem in computer vision. It is used in 2D and 3D object matching and recognition. Despite its importance, there is little literature on learnin...
Marius Leordeanu, Martial Hebert
GBRPR
2007
Springer
9 years 1 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
ICMCS
2005
IEEE
162views Multimedia» more  ICMCS 2005»
9 years 2 months ago
Clustering of Video Objects by Graph Matching
We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) which can represent the content of video sequence. Unlike existing ones which consider main...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang
CVPR
2008
IEEE
9 years 11 months ago
Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration
Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph theory can be used to...
Diana Mateus, Radu Horaud, David Knossow, Fabio Cu...
MM
2015
ACM
48views Multimedia» more  MM 2015»
3 years 5 months ago
Unsupervised Cosegmentation based on Global Graph Matching
Cosegmentation is defined as the task of segmenting a common object from multiple images. Hitherto, graph matching has been known as a promising approach because of its flexibil...
Takanori Tamanaha, Hideki Nakamaya
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