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Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling

Ruf, Boitumelo; Pollok, Thomas; Weinmann, Martin

Abstract:
Online augmentation of an oblique aerial image sequence with structural information is an essential aspect in the process of 3D scene interpretation and analysis. One key aspect in this is the efficient dense image matching and depth estimation. Here, the Semi-Global Matching (SGM) approach has proven to be one of the most widely used algorithms for efficient depth estimation, providing a good trade-off between accuracy and computational complexity. However, SGM only models a first-order smoothness assumption, thus favoring fronto-parallel surfaces. In this work, we present a hierarchical algorithm that allows for efficient depth and normal map estimation together with confidence measures for each estimate. Our algorithm relies on a plane-sweep multi-image matching followed by an extended SGM optimization that allows to incorporate local surface orientations, thus achieving more consistent and accurate estimates in areasmade up of slanted surfaces, inherent to oblique aerial imagery. We evaluate numerous configurations of our algorithm on two different datasets using an absolute and relative accuracy measure. In our evaluation, we show that the results of our approach are comparable to the ones achieved by refined Structure-from-Motion (SfM) pipelines, such as COLMAP, which are designed for offline processing. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000104539
Veröffentlicht am 08.01.2020
Originalveröffentlichung
DOI: 10.5194/isprs-annals-IV-2-W7-137-2019
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU)
Institut für Photogrammetrie und Fernerkundung (IPF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 2194-9050
KITopen-ID: 1000104539
Erschienen in ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
Verlag Copernicus Publications
Band IV-2/W7
Seiten 137–144
Externe Relationen Abstract/Volltext
Nachgewiesen in Dimensions
Scopus
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