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» Methods for Feature Detection in Point Clouds
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RAS
2008
139views more  RAS 2008»
13 years 6 months ago
Towards 3D Point cloud based object maps for household environments
This article investigates the problem of acquiring 3D object maps of indoor household environments, in particular kitchens. The objects modeled in these maps include cupboards, ta...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ICCV
2009
IEEE
15 years 15 days ago
Shape-based Recognition of 3D Point Clouds in Urban Environments
This paper investigates the design of a system for recognizing objects in 3D point clouds of urban environments. The system is decomposed into four steps: locating, segmenting, ...
Aleksey Golovinskiy, Vladimir G. Kim, Thomas Funkh...
ISBI
2008
IEEE
14 years 8 months ago
An algorithm to map asymmetries of bilateral objects in point clouds
We present a method to automatically quantify the local asymmetries of bilateral structures in point clouds. The method relies on the robust computation of the approximate symmetr...
Benoît Combès, Robin Hennessy, John W...
ECCV
2008
Springer
14 years 9 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
CVPR
2009
IEEE
15 years 2 months ago
From Structure-from-Motion Point Clouds to Fast Location Recognition
Efficient view registration with respect to a given 3D reconstruction has many applications like inside-out tracking in indoor and outdoor environments, and geo-locating images ...
Arnold Irschara (Graz University of Technology), C...