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  • 标题:LOCATION DETERMINATION IN URBAN ENVIRONMENT FROM IMAGE SEQUENCES
  • 本地全文:下载
  • 作者:Q. Zhan ; Y. Liang ; Y. Xiao
  • 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:2012
  • 卷号:XXXIX-B3
  • 页码:453-456
  • DOI:10.5194/isprsarchives-XXXIX-B3-453-2012
  • 出版社:Copernicus Publications
  • 摘要:Location Determination Problem (LDP) is a classic and interesting problem both for photogrammetry and computer vision community: Given an image depicting a set of landmarks with known locations, determine that point in space from which the image was obtained. In this paper we try to use image sequences to automatically solve LDP in local Euclidean space in which no georeference information is needed. Overlapping image sequences are preferable for matching images obtained in cities. We implement a method which can semi-automatically solve LDP in urban scenario with state-of-the-art 3D reconstruction system.
  • 关键词:Location Determination Problem; Bundle Adjustment; Image Matching; Point Transfer; Pose Estimation; RANSAC
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