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IBPRIA
2005
Springer
14 years 1 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»
14 years 13 days 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»
14 years 1 days 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»
14 years 1 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
14 years 10 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