Kahn, Svenja and Wuest, Harald and Fellner, Dieter W. (2010):
Time-of-Flight Based Scene Reconstruction with a Mesh Processing Tool for Model Based Camera Tracking.
pp. 302-309, INSTICC Press, VISIGRAPP 2010. Proceedings, [Conference or Workshop Item]
Abstract
The most challenging algorithmical task for markerless Augmented Reality applications is the robust estimation of the camera pose. With a given 3D model of a scene the camera pose can be estimated via model-based camera tracking without the need to manipulate the scene with fiducial markers. Up to now, the bottleneck of model-based camera tracking is the availability of such a 3D model. Recently time-of-flight cameras were developed which acquire depth images in real time. With a sensor fusion approach combining the color data of a 2D color camera and the 3D measurements of a time-of-flight camera we acquire a textured 3D model of a scene. We propose a semi-manual reconstruction step in which the alignment of several submeshes with a mesh processing tool is supervised by the user to ensure a correct alignment. The evaluation of our approach shows its applicability for reconstructing a 3D model which is suitable for model-based camera tracking even for objects which are difficult to measure reliably with a time-of-flight camera due to their demanding surface characteristics.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2010 |
| Creators: | Kahn, Svenja and Wuest, Harald and Fellner, Dieter W. |
| Title: | Time-of-Flight Based Scene Reconstruction with a Mesh Processing Tool for Model Based Camera Tracking |
| Language: | English |
| Abstract: | The most challenging algorithmical task for markerless Augmented Reality applications is the robust estimation of the camera pose. With a given 3D model of a scene the camera pose can be estimated via model-based camera tracking without the need to manipulate the scene with fiducial markers. Up to now, the bottleneck of model-based camera tracking is the availability of such a 3D model. Recently time-of-flight cameras were developed which acquire depth images in real time. With a sensor fusion approach combining the color data of a 2D color camera and the 3D measurements of a time-of-flight camera we acquire a textured 3D model of a scene. We propose a semi-manual reconstruction step in which the alignment of several submeshes with a mesh processing tool is supervised by the user to ensure a correct alignment. The evaluation of our approach shows its applicability for reconstructing a 3D model which is suitable for model-based camera tracking even for objects which are difficult to measure reliably with a time-of-flight camera due to their demanding surface characteristics. |
| Publisher: | INSTICC Press |
| Uncontrolled Keywords: | Forschungsgruppe Semantic Models, Immersive Systems (SMIS), 3D Reconstruction, Sensor fusion, 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 |
| Event Title: | VISIGRAPP 2010. Proceedings |
| Date Deposited: | 12 Nov 2018 11:16 |
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