From laser point clouds to surfaces: Statistical nonparametric methods for three-dimensional reconstruction

Authors:
J. Roca-Pardiñas;H. Lorenzo;P. Arias;J. Armesto
Affiliations:
University of Vigo, Department of Statistics & Operational Research, Vigo, Spain;University of Vigo, Department of Natural Resources Engineering. EUET Forestal, Campus A Xunqueira s/n, 36005-Pontevedra, Spain;University of Vigo, Department of Natural Resources Engineering. EUET Forestal, Campus A Xunqueira s/n, 36005-Pontevedra, Spain;University of Vigo, Department of Natural Resources Engineering. EUET Forestal, Campus A Xunqueira s/n, 36005-Pontevedra, Spain
Venue:
Computer-Aided Design
Year:
2008

Citing 9
Cited 0

A signal processing approach to fair surface design

SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Implicit fairing of irregular meshes using diffusion and curvature flow

Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Wiener Filtering of Meshes

SMI '02 Proceedings of the Shape Modeling International 2002 (SMI'02)
3D Triangle Mesh Smoothing via Adaptive MMSE Filtering

CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Testing for interactions in generalized additive models: Application to SO2 pollution data

Statistics and Computing
A sharpness dependent filter for mesh smoothing

Computer Aided Geometric Design - Special issue: Geometry processing
Surface mesh segmentation and smooth surface extraction through region growing

Computer Aided Geometric Design
On the normal vector estimation for point cloud data from smooth surfaces

Computer-Aided Design
Using generalized additive models for construction of nonlinear classifiers in computer-aided diagnosis systems

IEEE Transactions on Information Technology in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a new method for the reconstruction of three-dimensional objects surveyed with a terrestrial laser scanner. The method is a 2.5D surface modelling technique which is based on the application of statistical nonparametric regression methods for point cloud regularization and mesh smoothing, specifically the kernel-smoothing techniques. The proposed algorithm was tested in a theoretical model-simulations being carried out with the aim of evaluating the ability of the method to filter random noise and oscillations related to the acquisition of data during the fieldwork-and the results were satisfactory. The method was then applied, as a reverse engineering tool, to real-world data in the field of naval construction. A precise solution to the problem of obtaining realistic surfaces and sections of large industrial objects from laser 3D point clouds is provided, which has proved to be efficient in terms of computational time.