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  4. On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery
 
conference paper

On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery

Strecha, Christoph  
•
von Hansen, Wolfgang
•
Van Gool, Luc
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2008
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
IEEE Conference on Computer Vision and Pattern Recognition

In this paper we want to start the discussion on whether image based 3-D modelling techniques can possibly be used to replace LIDAR systems for outdoor 3D data acquisition. Two main issues have to be addressed in this context: (i) camera calibration (internal and external) and (ii) dense multi-view stereo. To investigate both, we have acquired test data from outdoor scenes both with LIDAR and cameras. Using the LIDAR data as reference we estimated the ground-truth for several scenes. Evaluation sets are prepared to evaluate different aspects of 3D model building. These are: (i) pose estimation and multi-view stereo with known internal camera parameters; (ii) camera calibration and multi-view stereo with the raw images as the only input and (iii) multi-view stereo.

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Type
conference paper
DOI
10.1109/CVPR.2008.4587706
Web of Science ID

WOS:000259736802071

Author(s)
Strecha, Christoph  
von Hansen, Wolfgang
Van Gool, Luc
Fua, Pascal  
Thoennessen, Ulrich
Date Issued

2008

Published in
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Subjects

multi-view stereo

•

camera calibration

•

LIDAR

•

benchmarking

URL

URL

http://vision.eecs.ucf.edu/
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
Event nameEvent placeEvent date
IEEE Conference on Computer Vision and Pattern Recognition

Anchorage

June 24-26, 2008

Available on Infoscience
September 13, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/27900
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