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» Robust Algorithms for Object Localization
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ICRA
2005
IEEE
167views Robotics» more  ICRA 2005»
14 years 2 months ago
Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter
— In this paper we present a vision-based approach to self-localization that uses a novel scheme to integrate featurebased matching of panoramic images with Monte Carlo localizat...
Henrik Andreasson, André Treptow, Tom Ducke...
CIARP
2008
Springer
13 years 10 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
CRV
2006
IEEE
128views Robotics» more  CRV 2006»
14 years 2 months ago
Local Stereo Matching with Segmentation-based Outlier Rejection
We present a new window-based stereo matching algorithm which focuses on robust outlier rejection during aggregation. The main difficulty for window-based methods lies in determi...
Mark Gerrits, Philippe Bekaert
ICPR
2004
IEEE
14 years 9 months ago
Object Categorization via Local Kernels
In this paper we consider the problem of multi-object categorization. We present an algorithm that combines support vector machines with local features via a new class of Mercer k...
Barbara Caputo, Christian Wallraven, Maria-Elena N...
IJON
2010
129views more  IJON 2010»
13 years 7 months ago
Robust object tracking using a spatial pyramid heat kernel structural information representation
In this paper, we propose an object tracking framework based on a spatial pyramid heat kernel structural information representation. In the tracking framework, we take advantage o...
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang