BIM RECONSTRUCTION: AUTOMATED PROCEDURAL MODELING FROM POINT CLOUD DATA

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...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Surface Reconstruction from a Point Cloud with Normals

We set out to implement a tool to reconstruct a 3-D triangle mesh from a set of points and the corresponding normals of an unknown surface. This surface may have arbitrarily complex topology and geometry, and may contain boundaries. We base our implementation on an influential reconstruction paper [HDD∗92]. Results were generated for a variety of challenging inputs.

Exploring Regularities for Improving Façade Reconstruction from Point Cloud

This thesis focuses on regularities, shared by within an object and among objects, to improve the quality of facade reconstruction from point cloud. There are three main objectives in the research. The first is to detect the wall and its holes, which represent existence of windows, intrusions or extrusions on the wall. Second, local regularities within one hole and global regularities shared am...