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2009 8th IEEE International Symposium on Mixed and Augmented Reality
A dataset and evaluation methodology for template-based tracking algorithms
Orlando, FL, USA
October 19-October 22
ISBN: 978-1-4244-5390-0
Sebastian Lieberknecht, metaio GmbH, Germany
Selim Benhimane, metaio GmbH, Germany
Peter Meier, metaio GmbH, Germany
Nassir Navab, Technische Universität Müchen, Germany
Unlike dense stereo, optical flow or multi-view stereo, template-based tracking lacks benchmark datasets allowing a fair comparison between state-of-the-art algorithms. Until now, in order to evaluate objectively and quantitatively the performance and the robustness of template-based tracking algorithms, mainly synthetically generated image sequences were used. The evaluation is therefore often intrinsically biased.
Citation:
Sebastian Lieberknecht, Selim Benhimane, Peter Meier, Nassir Navab, "A dataset and evaluation methodology for template-based tracking algorithms," ismar, pp.145-151, 2009 8th IEEE International Symposium on Mixed and Augmented Reality, 2009
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