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» A Discussion of Simultaneous Localization and Mapping
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ICRA
2005
IEEE
126views Robotics» more  ICRA 2005»
14 years 1 months ago
Global A-Optimal Robot Exploration in SLAM
— It is well-known that the Kalman filter for simultaneous localization and mapping (SLAM) converges to a fully correlated map in the limit of infinite time and data [1]. Howev...
Robert Sim, Nicholas Roy
JODS
2006
135views Data Mining» more  JODS 2006»
13 years 7 months ago
Managing Uncertainty in Schema Matching with Top-K Schema Mappings
In this paper, we propose to extend current practice in schema matching with the simultaneous use of top-K schema mappings rather than a single best mapping. This is a natural ext...
Avigdor Gal
HVEI
2009
13 years 5 months ago
Measuring perceptual contrast in a multi-level framework
In this paper, we propose and discuss some approaches for measuring perceptual contrast in digital images. We start from previous algorithms by implementing different local measur...
Gabriele Simone, Marius Pedersen, Jon Yngve Hardeb...
ICPR
2008
IEEE
14 years 1 months ago
Non-linear feature extraction by linear PCA using local kernel
This paper presents how to extract non-linear features by linear PCA. KPCA is effective but the computational cost is the drawback. To realize both non-linearity and low computati...
Kazuhiro Hotta
MVA
2010
248views Computer Vision» more  MVA 2010»
13 years 2 months ago
A comparative evaluation of interest point detectors and local descriptors for visual SLAM
Abstract In this paper we compare the behavior of different interest points detectors and descriptors under the conditions needed to be used as landmarks in visionbased simultaneou...
Arturo Gil, Óscar Martínez Mozos, M&...