文章基本信息

标题：Automated 3D Reconstruction of Urban Areas from Networks of Wide-Baseline Image Sequences
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作者：Helmut Mayer ; Jan Bartelsen
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B5
页码：633-638
出版社：Copernicus Publications
摘要：The efficient automated reconstruction of highly detailed 3D models of urban areas for visualization and analysis is an active area of research for diverse applications ranging from surveillance to architecture. A .exible and cheap data source are wide-baseline image sequences generated with hand-held consumer cameras with several to tens of Megapixels. Image sequences are particularly suitable for the reconstruction of 3D structures along linear objects such as roads. This paper presents an approach for 3D reconstruction from image sequences taken with a weakly calibrated camera with no need for approximations for position and attitude, markers on the ground, or even ground control. The generated 3D reconstruction result is relative, i.e., the scale is not known, but Euclidean, that is, right angles are preserved. The paper shows that the approach allows to produce a 3D reconstruction consisting of points, camera positions and orientations, as well as vertically oriented planes from image sequences taken with a Micro Unmanned Aerial Vehicle (UAV) under challenging wind conditions and without navigation information. Finally, the paper discusses how sequences can be linked into networks, or also images into blocks, clarifying which image configurations exist and how they can be adequately treated when prior knowledge about them is available
关键词：Computer Vision; Virtual Landscape; Close Range Photogrammetry; Visualization; Urban Planning