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» Using Local Symmetry for Landmark Selection
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ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 7 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
AROBOTS
2002
138views more  AROBOTS 2002»
13 years 7 months ago
Visual Navigation in Natural Environments: From Range and Color Data to a Landmark-Based Model
This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video color camera and a stereo-vision system. We focus on the interest of such ...
Rafael Murrieta-Cid, Carlos Parra, Michel Devy
WAPCV
2004
Springer
14 years 1 months ago
A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition
Visual attention refers to the ability of a vision system to rapidly detect visually salient locations in a given scene. On the other hand, the selection of robust visual landmarks...
Nabil Ouerhani, Heinz Hügli, Gabriel Gruener,...
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&...
ICCV
2011
IEEE
12 years 8 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter