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» The Impact of Color on Bag-Of-Words Based Object Recognition
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CVPR
1999
IEEE
14 years 9 months ago
Object Recognition with Color Cooccurrence Histograms
We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain sep...
Peng Chang, John Krumm
ICPR
2010
IEEE
13 years 11 months ago
Perceptual Image Retrieval by Adding Color Information to the Shape Context Descriptor
In this paper we present a method for the retrieval of images in terms of perceptual similarity. Local color information is added to the shape context descriptor in order to obtain...
Marçal Rusiñol, Farshad Nourbakhsh, Dimosthenis ...
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 19 days ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Cooperative Stereo Matching with Color-Based Adaptive Local Support
Color processing imposes a new constraint on stereo vision algorithms: The assumption of constant color on object surfaces used to align local correlation windows with object bound...
Roland Brockers

Publication
659views
13 years 3 months ago
A Large-Scale Hierarchical Multi-View RGB-D Object Dataset
Over the last decade, the availability of public image repositories and recognition benchmarks has enabled rapid progress in visual object category and instance detection. Today we...
Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox