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» Sparse appearance based modeling for robot localization
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ARCS
2005
Springer
14 years 1 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
EPIA
2005
Springer
14 years 1 months ago
Visual Based Human Motion Analysis: Mapping Gestures Using a Puppet Model
Abstract. This paper presents a novel approach to analyze the appearance of human motions with a simple model i.e. mapping the motions using a virtual marionette model. The approac...
Jörg Rett, Jorge Dias
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning visibility of landmarks for vision-based localization
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
Pablo Fernández Alcantarilla, Sang Min Oh, ...
IJRR
2008
114views more  IJRR 2008»
13 years 7 months ago
Active Electrolocation for Underwater Target Localization
We explore the capabilities of a robotic sensing system designed to locate objects underwater through active movement of an electric field emitter and sensor apparatus. The system ...
James R. Solberg, Kevin M. Lynch, Malcolm A. MacIv...