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Automatic co-registration of aerial imagery and untextured model data utilizing average shading gradients

Schmitz, S.; Weinmann, Martin; Ruf, Boitumelo

Abstract:
The comparison of current image data with existing 3D model data of a scene provides an efficient method to keep models up to date. In order to transfer information between 2D and 3D data, a preliminary co-registration is necessary. In this paper, we present a concept to automatically co-register aerial imagery and untextured 3D model data. To refine a given initial camera pose, our algorithm computes dense correspondence fields using SIFT flow between gradient representations of the model and camera image, from which 2D–3D correspondences are obtained. These correspondences are then used in an iterative optimization scheme to refine the initial camera pose by minimizing the reprojection error. Since it is assumed that the model does not contain texture information, our algorithm is built up on an existing method based on Average Shading Gradients (ASG) to generate gradient images based on raw geometry information only. We apply our algorithm for the co-registering of aerial photographs to an untextured, noisy mesh model. We have investigated different magnitudes of input error and show that the proposed approach can reduce the final reprojection error to a minimum of 1.27 ± 0.54 pixels, which is less than 10% of its initial value. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000096304
Veröffentlicht am 09.07.2019
Originalveröffentlichung
DOI: 10.5194/isprs-archives-XLII-2-W13-581-2019
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 Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1682-1750
KITopen-ID: 1000096304
Erschienen in ISPRS Geospatial Week, 10-14 June 2019, Enschede, The Netherlands
Veranstaltung ISPRS Geospatial Week (2019), Enschede, Niederlande, 10.06.2019 – 14.06.2019
Verlag ISPRS
Seiten 581-588
Serie The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLII-2/W13
Schlagwörter Co-registration, Pose estimation, 2D-3D Correspondence, Average Shading Gradients, Iterative Closest Point
Nachgewiesen in Dimensions
Scopus
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