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ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
14 years 3 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ICIP
1998
IEEE
14 years 10 months ago
Recognizing Surfaces from 3D Curves
;I general paradigm for recognizing 3D objects is offered, and applied to some geometric primitives [sphe,res, cylinders, cones, and tori). The assumption is that Q curve on the s...
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac W...
ISRR
2001
Springer
105views Robotics» more  ISRR 2001»
14 years 1 months ago
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization
One of the most challenging aspects of concurrent mapping and localization (CML) is the problem of data association. Because of uncertainty in the origins of sensor measurements, i...
John J. Leonard, Paul M. Newman, Richard J. Rikosk...
ICRA
2005
IEEE
136views Robotics» more  ICRA 2005»
14 years 2 months ago
Fast Circular Landmark Detection for Cooperative Localisation and Mapping
— Map building through cooperative localisation (co-location) using circular geometric targets and a SICK laser range scanner is investigated. The tenet of co-location is circle ...
Julian Ryde, Huosheng Hu
ICRA
2010
IEEE
259views Robotics» more  ICRA 2010»
13 years 6 months ago
RANSAC matching: Simultaneous registration and segmentation
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample conse...
Shao-Wen Yang, Chieh-Chih Wang, Chun-Hua Chang