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Orlando, FL, USA
Oct. 19, 2009 to Oct. 22, 2009
ISBN: 978-1-4244-5390-0
pp: 145-151
Sebastian Lieberknecht , metaio GmbH, Germany
Selim Benhimane , metaio GmbH, Germany
Peter Meier , metaio GmbH, Germany
Nassir Navab , Technische Universität Müchen, Germany
ABSTRACT
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, 2009, 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2009, pp. 145-151, doi:10.1109/ISMAR.2009.5336487
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