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.
Cavegn, S., Haala, N., Nebiker, S., Rothermel, M., & Zwölfer, T. (2015). Evaluation of matching strategies for image-based mobile mapping. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 2, pp. 361–368). Copernicus GmbH. https://doi.org/10.5194/isprsannals-II-3-W5-361-2015