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» Classification of Contour Shapes Using Class Segment Sets
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115
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SIBGRAPI
2006
IEEE
15 years 9 months ago
Determining the branchings of 3D structures from respective 2D projections
This work describes a new framework for automatic extraction of 2D branching structures images obtained from 3D shapes, such as neurons and retinopathy images. The majority of met...
Jorge J. G. Leandro, Roberto M. Cesar, Luciano da ...
132
Voted
CVPR
2008
IEEE
16 years 5 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
112
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NIPS
2004
15 years 4 months ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...
153
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DAGM
2006
Springer
15 years 5 months ago
Phase Based 3D Texture Features
In this paper, we present a novel method for the voxel-wise extraction of rotation and gray-scale invariant features. These features are used for simultaneous segmentation and clas...
Janis Fehr, Hans Burkhardt
125
Voted
JMIV
2007
143views more  JMIV 2007»
15 years 3 months ago
Measures for Benchmarking of Automatic Correspondence Algorithms
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
Anders Ericsson, Johan Karlsson