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» Monte Carlo Localization Using SIFT Features
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AMR
2007
Springer
197views Multimedia» more  AMR 2007»
15 years 3 months ago
How to Use SIFT Vectors to Analyze an Image with Database Templates
During last years, local image descriptors have received much attention because of their efficiency for several computer vision tasks such as image retrieval, image comparison, fea...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent
BMCBI
2007
157views more  BMCBI 2007»
14 years 9 months ago
A hybrid multiscale Monte Carlo algorithm (HyMSMC) to cope with disparity in time scales and species populations in intracellula
Background: The fundamental role that intrinsic stochasticity plays in cellular functions has been shown via numerous computational and experimental studies. In the face of such e...
Asawari Samant, Babatunde A. Ogunnaike, Dionisios ...
83
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WSCG
2004
158views more  WSCG 2004»
14 years 11 months ago
Fully Automatic Elastic Registration of MR Images with Statistical Feature Extraction
We present a fully automatic scheme for the registration of MR images. The registration is carried out as a combination of an affine and an elastic transformation. The affine part...
Martin Held, Werner Weiser, Franz Wilhelmstöt...
ICRA
2003
IEEE
150views Robotics» more  ICRA 2003»
15 years 2 months ago
Vision-based fast and reactive monte-carlo localization
— This paper presents a fast approach for vision-based self-localization in RoboCup. The vision system extracts the features required for localization without processing the whol...
Thomas Röfer, Matthias Jüngel
CVPR
2009
IEEE
15 years 7 months ago
Visual loop closing using multi-resolution SIFT grids in metric-topological SLAM
We present an image-based Simultaneous Localization and Mapping (SLAM) framework with online, appearanceonly loop closing. We adopt a layered approach with metric maps over small ...
Vivek Pradeep, Gérard G. Medioni, James Wei...