TIME-OF-FLIGHT BASED SCENE RECONSTRUCTION WITH A MESH PROCESSING TOOL FOR MODEL BASED CAMERA TRACKING

Svenja Kahn, Harald Wuest, Dieter W. Fellner

2010

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.

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Paper Citation


in Harvard Style

Kahn S., Wuest H. and Fellner D. (2010). TIME-OF-FLIGHT BASED SCENE RECONSTRUCTION WITH A MESH PROCESSING TOOL FOR MODEL BASED CAMERA TRACKING . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 302-309. DOI: 10.5220/0002820903020309


in Bibtex Style

@conference{visapp10,
author={Svenja Kahn and Harald Wuest and Dieter W. Fellner},
title={TIME-OF-FLIGHT BASED SCENE RECONSTRUCTION WITH A MESH PROCESSING TOOL FOR MODEL BASED CAMERA TRACKING},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={302-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002820903020309},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - TIME-OF-FLIGHT BASED SCENE RECONSTRUCTION WITH A MESH PROCESSING TOOL FOR MODEL BASED CAMERA TRACKING
SN - 978-989-674-028-3
AU - Kahn S.
AU - Wuest H.
AU - Fellner D.
PY - 2010
SP - 302
EP - 309
DO - 10.5220/0002820903020309