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» Isolated Features Detection in Feature Models
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ECCV
2006
Springer
14 years 7 months ago
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support
We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requirin...
Anthony Remazeilles, François Chaumette, Si...
MVA
1998
110views Computer Vision» more  MVA 1998»
13 years 4 months ago
A fast algorithm for detecting die extrusion defects in IC packages
In this paper, we present a fast method for the detection of die extrusion defects in IC packages. The optical and lighting set-up as well as the details of the algorithm used for ...
H. Zhou, Ashraf A. Kassim, S. Ranganath
GW
2007
Springer
93views Biometrics» more  GW 2007»
13 years 11 months ago
Sequential Belief-Based Fusion of Manual and Non-manual Information for Recognizing Isolated Signs
Abstract. This work aims to recognize signs which have both manual and nonmanual components by providing a sequential belief-based fusion mechanism. We propose a methodology based ...
Oya Aran, Thomas Burger, Alice Caplier, Lale Akaru...
ICONIP
2004
13 years 6 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
ISVC
2010
Springer
13 years 3 months ago
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
In this paper, the well-known SIFT detector is extended with a bivariate feature localization. This is done by using function models that assume a Gaussian feature shape for the de...
Kai Cordes, Oliver Müller, Bodo Rosenhahn, J&...