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» Multi-spectral SIFT for Scene Category Recognition
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CVPR
2011
IEEE
13 years 25 days ago
Multi-spectral SIFT for Scene Category Recognition
We use a simple modification to a conventional SLR camera to capture images of several hundred scenes in colour (RGB) and near-infrared (NIR). We show that the addition of near-i...
Matthew Brown, Sabine Susstrunk
PAMI
2011
12 years 7 months ago
CENTRIST: A Visual Descriptor for Scene Categorization
—CENTRIST (CENsus TRansform hISTogram), a new visual descriptor for recognizing topological places or scene categories, is introduced in this paper. We show that place and scene ...
Jianxin Wu, James M. Rehg
CVPR
2009
IEEE
14 years 11 months ago
Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment
In this paper we propose a novel nonparametric approach for object recognition and scene parsing using dense scene alignment. Given an input image, we retrieve its best matches ...
Antonio B. Torralba, Ce Liu, Jenny Yuen
PAMI
2010
351views more  PAMI 2010»
13 years 3 months ago
Evaluating Color Descriptors for Object and Scene Recognition
—Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used for featu...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
CVPR
2011
IEEE
13 years 25 days ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...