Volume XXXIX-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 453-456, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-453-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 453-456, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-453-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  01 Aug 2012

01 Aug 2012

LOCATION DETERMINATION IN URBAN ENVIRONMENT FROM IMAGE SEQUENCES

Q. Zhan3,2,1, Y. Liang3,2, and Y. Xiao2,1 Q. Zhan et al.
  • 1School of Urban Design, Wuhan University, Wuhan 430072, China
  • 2Research Center for Digital City, Wuhan University, Wuhan 430072, China
  • 3School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Keywords: Location Determination Problem, Bundle Adjustment, Image Matching, Point Transfer, Pose Estimation, RANSAC

Abstract. 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.