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  4. Pose Estimation of Web-Shared Landscape Pictures
 
conference paper

Pose Estimation of Web-Shared Landscape Pictures

Produit, Timothée  
•
Tuia, Devis  
•
Lepetit, Vincent  
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Schindler, K
•
Paparoditis, N
2014
ISPRS Technical Commission III Symposium
Photogrammetric Computer Vision

We propose a robust method for registering high oblique images of landscapes. Typically, an input image can be registered by matching it against a set of registered images of the same location. While this has been shown to work very well for images of popular urban landmarks, registering landscape images remains a very challenging task: For a given place, only a very small amount of registered images is generally already available on photo-sharing platforms. Moreover, the appearance of landscapes can vary drastically depending on the season and the weather conditions. For these two reasons, matching the input images with registered images in a reliable way remains a challenging task. Our contribution is two-fold: first, we show how to estimate the camera orientation for images with GPS data using a novel algorithm for horizon matching based on Dynamic Time Warping. The proposed algorithm exploits an elevation model. Each image is processed independently from the others, there is therefore no need neither for image matching or for a large set of images. This step provides a set of reliable, fully registered images. Second, and in odrer to register new images with no GPS data available, we first ask the user to provide an approximate image localization on a 2D map. Then, we exploit this prior on the camera location to efficiently and robustly constrain and guide the matching process used to register the query image. We apply our method to a case study from the Zermatt area in Southern Switzerland, and show that the method provides registrations, which are accurate enough to map each pixel to an aerial map.

  • Details
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Type
conference paper
Author(s)
Produit, Timothée  
Tuia, Devis  
Lepetit, Vincent  
Golay, François  
Editors
Schindler, K
•
Paparoditis, N
Date Issued

2014

Published in
ISPRS Technical Commission III Symposium
Volume

II

Issue

3

Subjects

photosharing

•

landscape images

•

pose estimation

•

georeferencing

•

horizon

•

DTW

•

DEM

•

GIS

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASIG  
CVLAB  
Event nameEvent placeEvent date
Photogrammetric Computer Vision

Zürich

September 5-7,2014

Available on Infoscience
January 28, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/110603
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