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» Novel image feature alphabets for object recognition
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IVC
2008
147views more  IVC 2008»
14 years 9 months ago
Distinctive and compact features
We consider the problem of extracting features for multi-class recognition problems. The features are required to make fine distinction between similar classes, combined with tole...
Ayelet Akselrod-Ballin, Shimon Ullman
ICPR
2008
IEEE
15 years 4 months ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich
CVPR
2007
IEEE
15 years 12 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid
ACCV
2007
Springer
15 years 4 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
ICBA
2004
Springer
144views Biometrics» more  ICBA 2004»
15 years 3 months ago
Improving Iris Recognition Accuracy via Cascaded Classifiers
As a reliable approach to human identification, iris recognition has received increasing attention in recent years. In the literature of iris recognition, local feature of image de...
Zhenan Sun, Yunhong Wang, Tieniu Tan, Jiali Cui