NDLI: Real-time Image-based Localization for Hand-held 3D-modeling

Content Provider	Springer Nature Link
Author	Mair, Elmar Strobl, Klaus H. Bodenmüller, Tim Suppa, Michael Burschka, Darius
Copyright Year	2010
Abstract	We present a self-referencing hand-held scanning device for vision-based close-range 3D-modeling. Our approach replaces external global tracking devices with ego-motion estimation directly from the camera used for reconstruction. The system is capable of online estimation of the 6DoF pose on hand-held devices with high motion dynamics especially in rotational components. Inertial information supports directly the tracking process to allow for robust tracking and feature management in highly dynamic environments. We introduce a weighting function for landmarks that contribute to the pose estimation increasing the accuracy of the localization and filtering outliers in the tracking process. We validate our approach with experimental results showing the robustness and accuracy of the algorithm. We compare the results to external global referencing solutions used in current modeling systems.
Starting Page	207
Ending Page	214
Page Count	8
File Format	PDF
ISSN	09331875
Journal	KI - Künstliche Intelligenz
Volume Number	24
Issue Number	3
e-ISSN	16101987
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-05-26
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	3D modeling Visual localization Hand-held scanning Inertia aided visual tracking Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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