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» Multiclass Object Recognition with Sparse, Localized Feature...
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103
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ICPR
2000
IEEE
16 years 3 months ago
The Multimodal Signature Method: An Efficiency and Sensitivity Study
The multimodal neighbourhood signature (MNS) method has given acceptable results both for the colour-based image retrieval and the object recognition task. Local colour content is...
Dimitri Koubaroulis, Jiri Matas, Josef Kittler
147
Voted
ICIP
2008
IEEE
16 years 4 months ago
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery
A richer set of land-cover classes are observable in satellite imagery than ever before due to the increased sub-meter resolution. Individual objects, such as cars and houses, are...
Yi Yang, Shawn Newsam
117
Voted
ICPR
2008
IEEE
16 years 3 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
134
Voted
ICCV
2007
IEEE
16 years 4 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
137
Voted
ECCV
2004
Springer
16 years 4 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard