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Proceedings Article

Multi-image semi-global matching in object space

[+] Author Affiliations
F. Bethmann, T. Luhmann

Institute for Applied Photogrammetry and Geoinformatics (Germany)

Proc. SPIE 9528, Videometrics, Range Imaging, and Applications XIII, 95280N (June 21, 2015); doi:10.1117/12.2184696
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From Conference Volume 9528

  • Videometrics, Range Imaging, and Applications XIII
  • Fabio Remondino; Mark R. Shortis
  • Munich, Germany | June 21, 2015

abstract

Semi-Global Matching (SGM) is a widespread algorithm for image matching which is used for very different applications, ranging from real-time applications (e.g. for generating 3D data for driver assistance systems) to aerial image matching. Originally developed for stereo-image matching, several extensions have been proposed to use more than two images within the matching process (multi-baseline matching, multi-view stereo). These extensions still perform the image matching in (rectified) stereo images and combine the pairwise results afterwards to create the final solution. This paper proposes an alternative approach which is suitable for the introduction of an arbitrary number of images into the matching process and utilizes image matching by using non-rectified images. The new method differs from the original SGM method mainly in two aspects: Firstly, the cost calculation is formulated in object space within a dense voxel raster by using the grey (or colour) values of all images instead of pairwise cost calculation in image space. Secondly, the semi-global (path-wise) minimization process is transferred into object space as well, so that the result of semi-global optimization leads to index maps (instead of disparity maps) which directly indicate the 3D positions of the best matches. Altogether, this yields to an essential simplification of the matching process compared to multi-view stereo (MVS) approaches. After a description of the new method, results achieved from two different datasets (close-range and aerial) are presented and discussed. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

F. Bethmann and T. Luhmann
" Multi-image semi-global matching in object space ", Proc. SPIE 9528, Videometrics, Range Imaging, and Applications XIII, 95280N (June 21, 2015); doi:10.1117/12.2184696; http://dx.doi.org/10.1117/12.2184696


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