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IBPRIA
2005
Springer
13 years 11 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
CVGIP
2006
163views more  CVGIP 2006»
13 years 5 months ago
SVD-matching using SIFT features
The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a versio...
Elisabetta Delponte, Francesco Isgrò, Franc...
ICRA
2006
IEEE
159views Robotics» more  ICRA 2006»
13 years 11 months ago
Bearing-only Landmark Initialization by using SUF with Undistorted SIFT Features
— In this paper, we present a delayed algorithm for landmark initialization based on a Scaled Unscented Filter. The algorithm efficiently gives well-conditioned feature location...
Xiang Wang, Hong Zhang
RAS
2006
151views more  RAS 2006»
13 years 5 months ago
Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially...
Hashem Tamimi, Henrik Andreasson, André Tre...
ICPR
2008
IEEE
14 years 7 months ago
Fingerprint indexing based on composite set of reduced SIFT features
Most of current fingerprint indexing schemes utilize features based on global textures and minutiae structures. To extend the existing technology of feature extraction, this paper...
Xin Shuai, Chao Zhang, Pengwei Hao