Geo-Referenced 3D Reconstruction: Fusing Public Geographic Data and Aerial Imagery

被引：0

作者：

Maurer, Michael ^{[1
]}

Rumpler, Markus ^{[1
]}

Wendel, Andreas ^{[1
]}

Hoppe, Christof ^{[1
]}

Irschara, Arnold ^{[1
]}

Bischof, Horst ^{[1
]}

机构：

[1] Graz Univ Technol, Inst Comp Graph & Vis, A-8010 Graz, Austria

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) | 2012年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present an image-based 3D reconstruction pipeline for acquiring geo-referenced semi-dense 3D models. Multiple overlapping images captured from a micro aerial vehicle platform provide a highly redundant source for multi-view reconstructions. Publicly available geo-spatial information sources are used to obtain an approximation to a digital surface model (DSM). Models obtained by the semi-dense reconstruction are automatically aligned to the DSM to allow the integration of highly detailed models into the original DSM and to provide geographic context.

引用

页码：3557 / 3558

页数：2

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