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  • 标题:Multi-Ray Matching for Automated 3d Object Modeling
  • 本地全文:下载
  • 作者:J.D. Thurgood ; M. Gruber ; K. Karner
  • 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:2004
  • 卷号:XXXV Part B3
  • 页码:140-144
  • 出版社:Copernicus Publications
  • 摘要:Traditional photogrammetry exploits stereoscopic image measurements to reconstruct the shape of objects. This technology is well- known and understood for over a century. Since the age of the stereo comparator human operators have been able to recognize the depth of a scene with remarkable accuracy. In principle, this has not changed during the time that image processing has been introduced into the photogrammetric production chain. Only a certain degree of automation has been derived, when matching and image correlation has replaced the human eyes. Nevertheless, we need to confess that shape from stereo is not very robust and that a time-consuming and therefore expensive control and verification process is needed after the automated reconstruction process. To overcome such problems, we argue that a process based on multiple image overlap is the appropriate solution. In the age of digital aerial cameras such multiple overlaps can be commanded without extra costs for additional images. A forward overlap of at least 80 % supports a robust and highly redundant measurement. Automation and verification starts to become an easy job, and based on the level of redundancy, we can expect a much more reliable means of automated production. In urban areas we have an additional benefit in the reduction or elimination of occlusions. In this paper we present several examples of multiple image matching, based on images taken with the new large format digital aerial camera UltraCam-D from Vexcel Imaging
  • 关键词:Digital Aerial Images; Multiple overlap; Object reconstruction
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