Reconstructing while registering: a novel approach for markerless augmented reality
Gilles Simon,Marie-Odile Berger +1 more
- pp 285-293
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This paper addresses the registration problem for unprepared multi-planar scenes by proposing an interactive process to obtain accurate results using only the texture information of planes.Abstract:
This paper addresses the registration problem for unprepared multi-planar scenes. An interactive process is proposed to obtain accurate results using only the texture information of planes. In particular, classical preparation steps (camera calibration, scene acquisition) are greatly simplified, since they are included in the on-line registration process. Results are shown on indoor and outdoor scenes. Videos are available at url http://www.loria.fr//spl tilde/gsimon/Ismar.read more
Citations
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Pose Estimation for Augmented Reality: A Hands-On Survey
TL;DR: This paper aims at presenting a brief but almost self-contented introduction to the most important approaches dedicated to vision-based camera localization along with a survey of several extension proposed in the recent years.
Proceedings ArticleDOI
A real-time tracker for markerless augmented reality
TL;DR: A real-time, robust and efficient 3D model-based tracking algorithm is proposed for a 'video see through' monocular vision system, combining local position uncertainty and global pose uncertainty in an efficient and accurate way by propagating uncertainty.
Journal ArticleDOI
Virtual and augmented reality support for discrete manufacturing system simulation
Wilhelm Dangelmaier,Matthias Fischer,Jürgen Gausemeier,Michael Grafe,Carsten Matysczok,Bengt Mueck +5 more
TL;DR: The architecture of a system which uses the technologies of augmented and virtual reality to support the planning process of complex manufacturing systems is described, which assists the user in modeling, the validation of the simulation model, and the subsequent optimization of the production system.
Estimation of Nonlinear Dynamic Systems : Theory and Applications
TL;DR: This thesis deals with estimation of states and parameters in nonlinear and non-Gaussian dynamic systems and uses Sequential Monte Carlo methods to this end.
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Towards cloud Augmented Reality for construction application by BIM and SNS integration
TL;DR: A video-based on-line AR environment and a pilot cloud framework that is seamlessly integrated into in-use information systems and therefore enjoys greater usability.
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