Abstract
Camera setup, calibration and visual based registration of Augmented Reality (AR) based tabletop setups can be a really complicated and time-intensive task. Homography is often used liberally despite its assumption for planar surfaces, where the mapping from the camera to the table can be expressed by a simple projective homography. However, this approach often fails in curved and non-planar surface setups. In this paper, we propose a technique that approximates the values and reduces the tracking error-values by the usage of a neural network function. The final result gives a uniform representation of the camera against combinations of camera parameters that will help in the multi-camera setup. We present the advantages with demonstration applications, where a laser pointer spot and a light from the lamp will be tracked in non planar surface.
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© 2006 Springer-Verlag Berlin Heidelberg
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Prihatmanto, A.S., Haller, M., Wagner, R. (2006). Flexible Camera Setup for Visual Based Registration on 2D Interaction Surface with Undefined Geometry Using Neural Network. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_98
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DOI: https://doi.org/10.1007/11941354_98
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49776-9
Online ISBN: 978-3-540-49779-0
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