IMPROVING AUTOMATIC RECONSTRUCTION OF INTERIOR WALLS FROM POINT CLOUD DATA

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Maset, E.^1¹ 

[1] DPIA – University of Udine, Via delle Scienze, 206 – 33100 Udine, Italy^1

关键词: Indoor modelling;    Wall reconstruction;    Point cloud;    Line fitting;    Min-hashed J-Linkage;   

DOI  :  10.5194/isprs-archives-XLII-2-W13-849-2019

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

In this paper we deal with the automatic reconstruction of interior walls from point clouds, an active research topic with several practical applications. We propose an improved version of the method presented in (Magri and Fusiello, 2018), where the overall structure of the environment is extracted by fitting lines to the main building features, using Min-hashed J-Linkage as a multi-model fitting technique. Our variation has the merit of producing more accurate results, both in terms of wall reconstruction and room segmentation, and greatly reducing the need for user-defined thresholds.

【 授权许可】

CC BY