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User-Aided Global Registration Method using Geospatial 3D Data for Large-Scale Mobile Outdoor Augmented Reality

 
: Burkard, S.; Fuchs-Kittowski, F.

:

Guan, F. ; Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Symposium on Mixed and Augmented Reality, ISMAR-adjunct 2020. Adjunct Proceedings : 9-13 November 2020
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-72817-675-8
ISBN: 978-1-72817-676-5
S.104-109
International Symposium on Mixed and Augmented Reality (ISMAR) <19, 2020, Online>
Englisch
Konferenzbeitrag
Fraunhofer FOKUS ()

Abstract
Accurate global camera registration is a key requirement for precise AR visualizations in large-scale outdoor AR applications. Existing approaches mostly use complex image-based registration methods requiring large pre-registered databases of geo-referenced images or point clouds that are hardly applicable to large-scale areas. In this paper, we present a simple yet effective user-aided registration method that utilizes common geospatial 3D data to globally register mobile devices. For this purpose, text-based 3D geospatial data including digital 3D terrain and city models is processed into small-scale 3D meshes and displayed in a live AR view. Via two common mobile touch gestures the generated virtual models can be aligned manually to match the actual perception of the real-world environment. Experimental results show that - combined with a robust local visual-inertial tracking system - this approach enables an efficient and accurate global registration of mobile devices in various environments determining the camera attitude with less than one degree deviation while achieving a high degree of immersion through realistic occlusion behavior.

: http://publica.fraunhofer.de/dokumente/N-633584.html