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SIBGRAPI
2006
IEEE
9 years 12 months ago
Curvature-driven Modeling and Rendering of Point-Based Surfaces
In this work we address the problem of computing pointbased surface approximations from point clouds. Our approach is based on recently presented methods that define the approxim...
Joao Paulo Gois, Eduardo Tejada, Tiago Etiene, Lui...
AIPR
2006
IEEE
9 years 12 months ago
Recovering Spheres from 3D Point Data
The National Institute of Standards and Technology is involved in developing standard protocols for the performance evaluation of 3D imaging systems, which include laser scanners ...
Christoph Witzgall, Geraldine S. Cheok, Anthony J....
IROS
2008
IEEE
243views Robotics» more  IROS 2008»
10 years 8 days ago
Fast plane detection and polygonalization in noisy 3D range images
— A very fast but nevertheless accurate approach for surface extraction from noisy 3D point clouds is presented. It consists of two parts, namely a plane fitting and a polygonal...
Jann Poppinga, Narunas Vaskevicius, Andreas Birk 0...
IROS
2009
IEEE
229views Robotics» more  IROS 2009»
10 years 15 days ago
3D mapping for urban service robots
— We present an approach to the problem of 3D map building in urban settings for service robots, using threedimensional laser range scans as the main data input. Our system is ba...
Rafael Valencia, Ernesto Homar Teniente Avil&eacut...
CVPR
2010
IEEE
10 years 1 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
ICML
2008
IEEE
10 years 6 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
ICCV
2007
IEEE
10 years 7 months ago
Geometric Integrability and Consistency of 3D Point Clouds
Numerous applications processing 3D point data will gain from the ability to estimate reliably normals and differential geometric properties. Normal estimates are notoriously nois...
George Kamberov, Gerda Kamberova
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