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
Conference or Workshop Item, Bibliographie
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2010 |
| Creators: | Kahn, Svenja ; Wuest, Harald ; Stricker, Didier ; Fellner, Dieter W. |
| Type of entry: | Bibliographie |
| Title: | 3D Discrepancy Check via Augmented Reality |
| Language: | English |
| Date: | 2010 |
| Publisher: | IEEE Computer Society, Los Alamitos, Calif. |
| Event Title: | 9th IEEE International Symposium on Mixed and Augmented Reality 2010 |
| DOI: | 10.1109/ISMAR.2010.5643587 |
| 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. |
| Uncontrolled Keywords: | Forschungsgruppe Semantic Models, Immersive Systems (SMIS), 3D Reconstruction, 3D Modeling, Augmented reality (AR), Time-of-flight cameras (TOF cameras), Camera tracking |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 04 Feb 2022 12:41 |
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