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IBPRIA
2005
Springer
15 years 3 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...
CIRA
2007
IEEE
188views Robotics» more  CIRA 2007»
15 years 1 months ago
Facial Identity and Expression Recognition by using Active Appearance Model with Efficient Second Order Minimization and Neural
This paper proposes a technique for real-time recognition of facial Identity and expression which uses the active appearance model (AAM) with efficient second order minimization al...
Hyun-Chul Choi, Se-Young Oh
ICRA
2000
IEEE
145views Robotics» more  ICRA 2000»
15 years 1 months ago
Feature Based Condensation for Mobile Robot Localization
Much attention has been given to CONDENSATION methods for mobile robot localization. This has resulted in somewhat of a breakthrough in representing uncertainty for mobile robots....
Patric Jensfelt, David J. Austin, Olle Wijk, Magnu...
ICRA
2002
IEEE
177views Robotics» more  ICRA 2002»
15 years 2 months ago
Robust Vision-Based Localization for Mobile Robots using an Image Retrieval System Based on Invariant Features
In this paper we present a vision-based approach to mobile robot localization, that integrates an image retrieval system with Monte-Carlo localization. The image retrieval process...
Jürgen Wolf, Wolfram Burgard, Hans Burkhardt
CVPR
2005
IEEE
15 years 11 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang