Volume II-3/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 361-368, 2015
https://doi.org/10.5194/isprsannals-II-3-W5-361-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 361-368, 2015
https://doi.org/10.5194/isprsannals-II-3-W5-361-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  20 Aug 2015

20 Aug 2015

EVALUATION OF MATCHING STRATEGIES FOR IMAGE-BASED MOBILE MAPPING

S. Cavegn1,2, N. Haala2, S. Nebiker1, M. Rothermel3, and T. Zwölfer3 S. Cavegn et al.
  • 1Institute of Geomatics Engineering, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland
  • 2Institute for Photogrammetry, University of Stuttgart, Germany
  • 3nFrames GmbH, Stuttgart, Germany

Keywords: Image, Matching, Sequence, Mobile Mapping, Stereo, Rectification

Abstract. The paper presents the implementation of a dense multi-view stereo matching pipeline for the evaluation of image sequences from a camera-based mobile mapping system. For this purpose the software system SURE is taken as a basis. Originally this system was developed to provide 3D point clouds or DEM from standard airborne and terrestrial image blocks. Since mobile mapping scenarios typically include stereo configurations with camera motion predominantly in viewing direction, processing steps like image rectification and structure computation of the existing processing pipeline had to be adapted. The presented investigations are based on imagery captured by the mobile mapping system of the Institute of Geomatics Engineering in the city center of Basel, Switzerland. For evaluation, reference point clouds from terrestrial laser scanning are used. Our first results already demonstrate a considerable increase in reliability and completeness of both depth maps and point clouds as result of the matching process.