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» Robust Algorithms for Object Localization
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CCIA
2007
Springer
14 years 2 months ago
An Evaluation of an Object Recognition Schema Using Multiple Region Detectors
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
Meritxell Vinyals, Arnau Ramisa, Ricardo Toledo
GLOBECOM
2008
IEEE
14 years 3 months ago
Robustness Analysis of Source Localization Using Gaussianity Measure
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization ...
Kun Yan, Hsiao-Chun Wu, S. S. Iyengar
ISM
2008
IEEE
100views Multimedia» more  ISM 2008»
14 years 3 months ago
Robust Edge Detection Based on Non-local Contribution of Local Frequency Characteristics
This paper introduces a robust approach to the problem of edge detection in situations characterized by high levels of image degradation and illumination non-uniformity. Popular e...
Alexander Wong, William Bishop
CVPR
2007
IEEE
14 years 10 months ago
Robust Occlusion Handling in Object Tracking
In object tracking, occlusions significantly undermine the performance of tracking algorithms. Unlike the existing methods that solely depend on the observed target appearance to ...
Jiyan Pan, Bo Hu
FSR
2007
Springer
108views Robotics» more  FSR 2007»
14 years 2 months ago
Robust Real-Time Local Laser Scanner Registration with Uncertainty Estimation
We present a fast, robust method for registering successive laser rangefinder scans. Correspondences between the current scan and previous scans are determined. Gaussian uncertai...
Justin Carlson, Charles E. Thorpe, David L. Duke