Volume reconstruction of point cloud data sets derived from computational geodynamic simulations

Computational-geometry-based Plant Organs Classification and Foliage 3D Reconstruction from Point Cloud Data

In recent years Terrestrial Laser Scaner (TLS) is widely used in complex scene survey and space objects measurement, however, due to the trees’ irregular and complex morphology, also the scanning results be effected by the wind blowing and occlusion effect, so quantifying the 3-D morphology structure and forestry index of an individual tree or a forest stand from Point Cloud Data (PCD) is a cha...

Bayesian Point Cloud Reconstruction

In this paper, we propose a novel surface reconstruction technique based on Bayesian statistics: The measurement process as well as prior assumptions on the measured objects are modeled as probability distributions and Bayes’ rule is used to infer a reconstruction of maximum probability. The key idea of this paper is to define both measurements and reconstructions as point clouds and describe a...

Challenging data sets for point cloud registration algorithms

The number of registration solutions in the literature has bloomed recently. The iterative closest point, for example, could be considered as the backbone of many laser-based localization and mapping systems. Although they are widely used, it is a common challenge to compare registration solutions on a fair base. The main limitation is to overcome the lack of accurate ground truth in current da...

Image Reconstruction from Incomplete Data

Surface approximation to point cloud data using volume modeling

Given a collection of unorganised points in space, we present a new method of constructing a surface which approximates this point cloud. The surface is defined implicitly as the isosurface of a trivariate volume model. The volume model is piecewise linear and obtained as a least squares fit to data derived from the point cloud. The original point cloud input is assigned a zero value. Additiona...