Detection and 3D Reconstruction of Buildings from Aerial Images
- 作者: Novotortsev L.1, Voloboy A.2
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隶属关系:
- JSC Racurs
- Keldysh Institute of Applied Mathematics, Russian Academy of Sciences
- 期: 卷 45, 编号 6 (2019)
- 页面: 311-318
- 栏目: Article
- URL: https://journals.rcsi.science/0361-7688/article/view/176903
- DOI: https://doi.org/10.1134/S0361768819060069
- ID: 176903
如何引用文章
详细
In this paper, we consider the problem of detection and 3D reconstruction of buildings from aerial images of the scene and usage of orientation data (camera parameters, GPS, etc.). Presently-available methods for solving this problem are inefficient on large amounts of data, where most of the data do not need thorough processing. In this work, we employ methods that find and analyze line segments on the image. This approach allows us to use image preprocessing based on line segment analysis, thereby reducing the amount of data that require computationally complex operations.
作者简介
L. Novotortsev
JSC Racurs
编辑信件的主要联系方式.
Email: torets13@gmail.com
俄罗斯联邦, ul. Yaroslavskaya 13А, Moscow, 129366
A. Voloboy
Keldysh Institute of Applied Mathematics, Russian Academy of Sciences
编辑信件的主要联系方式.
Email: voloboy@gin.keldysh.ru
俄罗斯联邦, Miusskaya pl. 4, Moscow, 125047