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» Local Intensity Order Pattern for Feature Description
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ICIP
2001
IEEE
14 years 7 months ago
Higher order autocorrelations for pattern classification
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
Vlad Popovici, Jean-Philippe Thiran
ICPR
2000
IEEE
13 years 9 months ago
Robust Texture Classification by Subsets of Local Binary Patterns
Recently, a nonparametric approach to texture analysis has been developed, in which the distributions of simple texture measures based on local binary patterns (LBP) are used for ...
Topi Mäenpää, Timo Ojala, Matti Pie...
ECCV
2008
Springer
13 years 7 months ago
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor
Extraction and matching of discriminative feature points in images is an important problem in computer vision with applications in image classification, object recognition, mosaici...
Raj Gupta, Anurag Mittal
LWA
2004
13 years 7 months ago
Towards Knowledge-Intensive Subgroup Discovery
Subgroup discovery can be applied for exploration or descriptive induction in order to discover "interesting" subgroups of the general population, given a certain proper...
Martin Atzmüller, Frank Puppe, Hans-Peter Bus...
WACV
2008
IEEE
14 years 2 hour ago
Iris Extraction Based on Intensity Gradient and Texture Difference
Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Succ...
Guodong Guo, Michael J. Jones