Abstract
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.
Cite
CITATION STYLE
Dumitru, R.-C., Borrmann, D., & Nüchter, A. (2013). INTERIOR RECONSTRUCTION USING THE 3D HOUGH TRANSFORM. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W1, 65–72. https://doi.org/10.5194/isprsarchives-xl-5-w1-65-2013
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.