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» Local Feature Matching Using Entropic Graphs
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IROS
2006
IEEE
110views Robotics» more  IROS 2006»
14 years 1 months ago
Robust Self-Localization in Industrial Environments based on 3D Ceiling Structures
- This paper introduces a new perceptual model for Monte Carlo Localization (MCL). In our approach a 3D laser scanner is used to observe the ceiling. The MCL matches ceiling struct...
Oliver Wulf, Daniel Lecking, Bernardo Wagner
WACV
2005
IEEE
14 years 1 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
13 years 8 months ago
Loosely Distinctive Features for Robust Surface Alignment
Many successful feature detectors and descriptors exist for 2D intensity images. However, obtaining the same effectiveness in the domain of 3D objects has proven to be a more elusi...
Andrea Albarelli, Emanuele Rodolà, Andrea T...
ICRA
2006
IEEE
174views Robotics» more  ICRA 2006»
14 years 1 months ago
Multi-scale point and line range data algorithms for mapping and localization
— This paper presents a multi-scale point and line based representation of two-dimensional range scan data. The techniques are based on a multi-scale Hough transform and a tree r...
Samuel T. Pfister, Joel W. Burdick
COOPIS
2004
IEEE
13 years 11 months ago
Composing Mappings Between Schemas Using a Reference Ontology
Large-scale database integration requires a significant cost in developing a global schema and finding mappings between the global and local schemas. Developing the global schema r...
Eduard C. Dragut, Ramon Lawrence