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3D Discrepancy Check via Augmented Reality

Kahn, Svenja ; Wuest, Harald ; Stricker, Didier ; Fellner, Dieter W. (2010)
3D Discrepancy Check via Augmented Reality.
9th IEEE International Symposium on Mixed and Augmented Reality 2010.
doi: 10.1109/ISMAR.2010.5643587
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

For many tasks like markerless model-based camera tracking it is essential that the 3D model of a scene accurately represents the real geometry of the scene. It is therefore very important to detect deviations between a 3D model and a scene. We present an innovative approach which is based on the insight that camera tracking can not only be used for Augmented Reality visualization but also to solve the correspondence problem between 3D measurements of a real scene and their corresponding positions in the 3D model. We combine a time-of-flight camera (which acquires depth images in real time) with a custom 2D camera (used for the camera tracking) and developed an analysis-by-synthesis approach to detect deviations between a scene and a 3D model of the scene.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2010
Autor(en): Kahn, Svenja ; Wuest, Harald ; Stricker, Didier ; Fellner, Dieter W.
Art des Eintrags: Bibliographie
Titel: 3D Discrepancy Check via Augmented Reality
Sprache: Englisch
Publikationsjahr: 2010
Verlag: IEEE Computer Society, Los Alamitos, Calif.
Veranstaltungstitel: 9th IEEE International Symposium on Mixed and Augmented Reality 2010
DOI: 10.1109/ISMAR.2010.5643587
Kurzbeschreibung (Abstract):

For many tasks like markerless model-based camera tracking it is essential that the 3D model of a scene accurately represents the real geometry of the scene. It is therefore very important to detect deviations between a 3D model and a scene. We present an innovative approach which is based on the insight that camera tracking can not only be used for Augmented Reality visualization but also to solve the correspondence problem between 3D measurements of a real scene and their corresponding positions in the 3D model. We combine a time-of-flight camera (which acquires depth images in real time) with a custom 2D camera (used for the camera tracking) and developed an analysis-by-synthesis approach to detect deviations between a scene and a 3D model of the scene.

Freie Schlagworte: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), 3D Reconstruction, 3D Modeling, Augmented reality (AR), Time-of-flight cameras (TOF cameras), Camera tracking
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 04 Feb 2022 12:41
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