3D Reconstruction of Building Interiors Using Point Clouds

The automatic modeling of as-built building interiors, known as indoor building reconstruction, is gaining increasing attention because of its widespread applications. With the development of sensors to acquire high-quality point clouds, a new modeling scheme called scan-to-BIM (building information modeling) emerged. However, the traditional scan-to-BIM process is time tedious and labor intensive. Most existing automatic indoor building reconstruction solutions can only fit the specific data or lack of detailed model representation. In this thesis, we propose two automatic reconstruction methods from 2D linear primitives and 3D planar primitives respectively, to create 2D floor plans and 3D building models. The approach using 2D primitives is well suited for large-scale point clouds through a decomposition-and-reconstruction strategy. Moreover, it can retrieve semantic information of rooms and doors simultaneously. Another method using 3D primitives can deal with different types of point clouds and retain as much as structural details with respect to protruding structures, complicated ceilings, and fine corners. The experimental results indicate the effectiveness of proposed methods and the robustness against noises and downsampling.

Name thesis:degree_name

Master of Science (MSc)

Discipline thesis:degree_discipline

Geomatics Engineering

Grantor dc:publisher.institution

Graduate Studies

Year dc:date.issued

2018

Author dc:creator

• Xie, Lei

Advisor dc:contributor.advisor

• Wang, Ruisheng

Committee members dc:contributor.committeemember

• Shahbazi, Mozhdeh
• Hassan, Quazi

Statement dc:rights

• University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.

Language dc:language.iso

eng

DOI

http://dx.doi.org/10.11575/PRISM/31838

OAI identifier oai:identifier

oai:ucalgary.scholaris.ca:1880/106552