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SMI
2007
IEEE
194views Image Analysis» more  SMI 2007»
14 years 1 months ago
Robust Smooth Feature Extraction from Point Clouds
Defining sharp features in a given 3D model facilitates a better understanding of the surface and aids visualizations, reverse engineering, filtering, simplification, non-photo...
Joel Daniels II, Linh K. Ha, Tilo Ochotta, Cl&aacu...
RSS
2007
146views Robotics» more  RSS 2007»
13 years 9 months ago
Context and Feature Sensitive Re-sampling from Discrete Surface Measurements
— This paper concerns context and feature-sensitive re-sampling of workspace surfaces represented by 3D point clouds. We interpret a point cloud as the outcome of repetitive and ...
Dave Cole, Paul Newman
ICIAR
2010
Springer
14 years 13 days ago
Real-Time Scale Invariant 3D Range Point Cloud Registration
Abstract. Stereo cameras, laser rangers and other time-of-flight ranging devices are utilized with increasing frequency as they can provide information in the 3D plane. The abilit...
Anuj Sehgal, Daniel Cernea, Milena Makaveeva
IROS
2008
IEEE
180views Robotics» more  IROS 2008»
14 years 2 months ago
Aligning point cloud views using persistent feature histograms
— In this paper we investigate the usage of persistent point feature histograms for the problem of aligning point cloud data views into a consistent global model. Given a collect...
Radu Bogdan Rusu, Nico Blodow, Zoltan Csaba Marton...
GIS
2009
ACM
13 years 11 months ago
Next generation map making: geo-referenced ground-level LIDAR point clouds for automatic retro-reflective road feature extractio
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
Xin Chen, Brad Kohlmeyer, Matei Stroila, Narayanan...