Abstract
In applications of augmented reality it is an essential task to retrieve the camera pose for correct overlay with virtual content. This can be realized by using a model-based camera tracking approach that fits a given model of the scene to the images captured by the camera. These systems have to be initialized properly for the pose estimation process of continuous tracking. We present a two-step concept for the global initialization of such model-based tracking systems. With a model database and known GPS coordinates as well as compass orientation, it is possible to determine which part of the scene is visible and to obtain a first rough pose. We also introduce a method to refine the initialization pose to overcome GPS inaccuracies. It has been successfully tested in an urban context.
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Schumann, M., Kowalczyk, S., Müller, S. (2012). Initialization of Model-Based Camera Tracking with Analysis-by-Synthesis. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_32
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DOI: https://doi.org/10.1007/978-3-642-33191-6_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33190-9
Online ISBN: 978-3-642-33191-6
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