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» Monte Carlo Localization Using SIFT Features
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IROS
2006
IEEE
164views Robotics» more  IROS 2006»
15 years 3 months ago
SLAM using Visual Scan-Matching with Distinguishable 3D Points
— Scan-matching based on data from a laser scanner is frequently used for mapping and localization. This paper presents an scan-matching approach based instead on visual informat...
Federico Bertolli, Patric Jensfelt, Henrik I. Chri...
WACV
2005
IEEE
15 years 3 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
ECCV
2010
Springer
14 years 10 months ago
Location Recognition Using Prioritized Feature Matching
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Suc...
Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher
JIRS
2010
153views more  JIRS 2010»
14 years 8 months ago
Active Visual Perception for Mobile Robot Localization
Abstract Localization is a key issue for a mobile robot, in particular in environments where a globally accurate positioning system, such as GPS, is not available. In these environ...
Javier Correa, Alvaro Soto
67
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WG
2004
Springer
15 years 3 months ago
Crossing Reduction in Circular Layouts
We propose a two-phase heuristic for crossing reduction in circular layouts. While the first algorithm uses a greedy policy to build a good initial layout, an adaptation of the si...
Michael Baur, Ulrik Brandes