Pose estimation of landscape images using DEM and orthophotos

Timothée Produit*, Devis Tuia, François Golay, Christoph Strecha

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paper

3 Citations (Scopus)

Abstract

In this paper, we propose a methodology for the estimation of the pose of oblique landscape images. Knowledge about the pose is needed for using such images in augmented reality applications or to allow projection of pixels in a GIS for spatial analysis. We propose to estimate the pose using a 3D digital elevation model (DEM) rendered with an ortho-image as reference. Starting from a rough estimation, the pose is refined by exploiting correspondences detected with a local normalized cross-correlation method. Matches are searched between edge features extracted both in the query image and in a synthetic image generated from the DEM and the ortho-image. A RANSAC approach based on the camera model extracts the best matches. Few iterations of the algorithm provide a precise estimation of the pose, leading to a precise georeferencing of the query image. We tested the proposed methodology to images of a popular glacier in the south of Switzerland downloaded from Panoramio.

Original languageEnglish
Title of host publicationProceedings of International Conference on Computer Vision in Remote Sensing, CVRS 2012
Pages209-214
Number of pages6
ISBN (Electronic)9781467312745
DOIs
Publication statusPublished - Dec 2012
Externally publishedYes
Event2012 International Conference on Computer Vision in Remote Sensing, CVRS 2012 - Xiamen, China
Duration: 16 Dec 201218 Dec 2012

Publication series

NameProceedings of International Conference on Computer Vision in Remote Sensing, CVRS 2012

Conference

Conference2012 International Conference on Computer Vision in Remote Sensing, CVRS 2012
CountryChina
CityXiamen
Period16/12/1218/12/12

Keywords

  • Analysis-by-synthesis
  • landscape image
  • orthoimage
  • pose estimation

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  • Cite this

    Produit, T., Tuia, D., Golay, F., & Strecha, C. (2012). Pose estimation of landscape images using DEM and orthophotos. In Proceedings of International Conference on Computer Vision in Remote Sensing, CVRS 2012 (pp. 209-214). [6421262] (Proceedings of International Conference on Computer Vision in Remote Sensing, CVRS 2012). https://doi.org/10.1109/CVRS.2012.6421262