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» Enhancements for Local Feature Based Image Classification
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MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 8 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
ICPR
2008
IEEE
14 years 2 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
GIS
2009
ACM
13 years 11 months ago
Classification of raster maps for automatic feature extraction
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Yao-Yi Chiang, Craig A. Knoblock
ICPR
2002
IEEE
14 years 8 months ago
Bayesian Marker Extraction for Color Watershed in Segmenting Microscopic Images
In this paper we study the ability of the cooperation of Bayesian color pixel classification in extracting seeds for color watershed. Using color pixel classification alone does n...
Olivier Lezoray, Hubert Cardot
ICPR
2010
IEEE
13 years 5 months ago
Learning Image Anchor Templates for Document Classification and Data Extraction
Image anchor templates are used in document image analysis for document classification, data localization, and other tasks. Current tools allow human operators to mark out small s...
Prateek Sarkar