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» Normal and Feature Approximations from Noisy Point Clouds
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FSTTCS
2006
Springer
13 years 11 months ago
Normal and Feature Approximations from Noisy Point Clouds
We consider the problem of approximating normal and feature sizes of a surface from point cloud data that may be noisy. These problems are central to many applications dealing wit...
Tamal K. Dey, Jian Sun
SMA
2009
ACM
228views Solid Modeling» more  SMA 2009»
14 years 2 months ago
Robust mesh reconstruction from unoriented noisy points
We present a robust method to generate mesh surfaces from unoriented noisy points in this paper. The whole procedure consists of three steps. Firstly, the normal vectors at points...
Hoi Sheung, Charlie C. L. Wang
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...
COMPGEOM
2003
ACM
14 years 26 days ago
Estimating surface normals in noisy point cloud data
In this paper we describe and analyze a method based on local least square fitting for estimating the normals at all sample points of a point cloud data (PCD) set, in the presenc...
Niloy J. Mitra, An Nguyen
VRCAI
2009
ACM
14 years 2 months ago
Segmentation of architecture shape information from 3D point cloud
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...