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CCIA
2009
Springer
13 years 6 months ago
Evaluation of the SIFT Object Recognition Method in Mobile Robots
General object recognition in mobile robots is of primary importance in order to enhance the representation of the environment that robots will use for their reasoning processes. T...
Arnau Ramisa, Shrihari Vasudevan, David Aldavert, ...
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
13 years 10 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta
IBPRIA
2005
Springer
13 years 10 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...
CORR
2011
Springer
178views Education» more  CORR 2011»
12 years 12 months ago
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
This paper addresses object perception applied to mobile robotics. Being able to perceive semantically meaningful objects in unstructured environments is a key capability in order...
Arnau Ramisa, David Aldavert, Shrihari Vasudevan, ...
BCS
2008
13 years 6 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...