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» Novel image feature alphabets for object recognition
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ICPR
2006
IEEE
15 years 11 months ago
A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions
This paper proposes a new generic object recognition system based on multi-scale affineinvariant image regions. Image segments are obtained by a watershed transform of the princip...
Wei Zhang, Hongli Deng, Thomas G. Dietterich, Eric...
ICIP
2009
IEEE
15 years 11 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
ICPR
2010
IEEE
15 years 4 months ago
The Impact of Color on Bag-Of-Words Based Object Recognition
In recent years several works have aimed at exploiting color information in order to improve the bag-ofwords based image representation. There are two stages in which color inform...
David Augusto Rojas Vigo, Fahad Shahbaz Khan, Joos...
CVPR
2005
IEEE
15 years 3 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
CLEF
2010
Springer
14 years 11 months ago
A Novel Structural-Description Approach for Image Retrieval
We tested our image classification methodology in the photo-annotation task of the ImageCLEF competition [Nowak, 2010] using a visual-only approach performing automated labeling. ...
Christoph Rasche, Constantin Vertan