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2009 8th IEEE International Symposium on Mixed and Augmented Reality
Evaluating the trackability of natural feature-point sets
Orlando, FL, USA
October 19-October 22
ISBN: 978-1-4244-5390-0
Lukas Gruber, Graz University of Technology, Austria
Stefanie Zollmann, Graz University of Technology, Austria
Daniel Wagner, Graz University of Technology, Austria
Dieter Schmalstieg, Graz University of Technology, Austria
In this work we present a novel idea of evaluating natural feature-point based tracking targets. Our main objective is to evaluate the inherent characteristics of natural feature-point sets with respect to vision-based pose estimation algorithms. Our work attempts to break new ground by concentrating on evaluating complete tracking targets, rather than evaluating tracking methods or single features. This allows deriving indications on how to improve the trackability of natural feature point sets.
Citation:
Lukas Gruber, Stefanie Zollmann, Daniel Wagner, Dieter Schmalstieg, "Evaluating the trackability of natural feature-point sets," ismar, pp.189-190, 2009 8th IEEE International Symposium on Mixed and Augmented Reality, 2009
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