Volume XL-5/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W1, 65-72, 2013
https://doi.org/10.5194/isprsarchives-XL-5-W1-65-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W1, 65-72, 2013
https://doi.org/10.5194/isprsarchives-XL-5-W1-65-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 Feb 2013

13 Feb 2013

INTERIOR RECONSTRUCTION USING THE 3D HOUGH TRANSFORM

R.-C. Dumitru, D. Borrmann, and A. Nüchter R.-C. Dumitru et al.
  • Automation Group, School of Engineering and Science Jacobs University Bremen, Germany

Keywords: Interior reconstruction, 3D modeling, plane detection, opening classification, occlusion reconstruction

Abstract. Laser scanners are often used to create accurate 3D models of buildings for civil engineering purposes, but the process of manually vectorizing a 3D point cloud is time consuming and error-prone (Adan and Huber, 2011). Therefore, the need to characterize and quantify complex environments in an automatic fashion arises, posing challenges for data analysis. This paper presents a system for 3D modeling by detecting planes in 3D point clouds, based on which the scene is reconstructed at a high architectural level through removing automatically clutter and foreground data. The implemented software detects openings, such as windows and doors and completes the 3D model by inpainting.