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» Object Recognition Using Segmentation for Feature Detection
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GBRPR
2005
Springer
15 years 11 months ago
Adaptive Pyramid and Semantic Graph: Knowledge Driven Segmentation
A method allowing to integrate syntactic and semantic approaches in an automatic segmentation process is described. This integration is possible thanks to the formalism of graphs....
Aline Deruyver, Yann Hodé, Eric Laemmer, Je...
ICPR
2010
IEEE
15 years 10 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
ISCIS
2003
Springer
15 years 11 months ago
Comparison of Feature Sets Using Multimedia Translation
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Pinar Duygulu, Özge Can Özcanli, Norman ...
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
16 years 21 days ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
ICCV
2009
IEEE
16 years 11 months ago
What is the Best Multi-Stage Architecture for Object Recognition?
In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer...
Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio R...