A Photogrammetric and Computer Vision-Based Approach for Automated 3D Architectural Modeling and Its Typological Analysis

Remote Sensing

Jesús Garc໚-Gago¹  Diego González-Aguilera¹  Javier Gómez-Lahoz¹ 

[1] Department of Cartographic and Terrain Engineering, Polytechnic School of Avila, University of Salamanca, Hornos Caleros 50, 05003 Avila, Spain; E-Mails:

关键词: image-based modeling;    photogrammetry;    computer vision;    matching;    cultural heritage;    architecture;    software development;    typological analysis;   

DOI  :  10.3390/rs6065671

来源: mdpi

【 摘 要 】

Thanks to the advances in integrating photogrammetry and computer vision, as well as in some numeric algorithms and methods, it is possible to aspire to turn 2D (images) into 3D (point clouds) in an automatic, flexible and good-quality way. This article presents a new method through the development of PW (Photogrammetry Workbench) (and how this could be useful for architectural modeling). This tool enables the user to turn images into scale 3D point cloud models, which have a better quality than those of laser systems. Moreover, the point clouds may include the respective orthophotos with photographic texture. The method allows the study of the typology of architecture and has been successfully tested on a sample of ten religious buildings located in the region of Aliste, Zamora (Spain).

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland