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• W44128098 abstract "We introduce a natural feature tracking approach that facilitates the tracking of rigid objects for an on-site assembly assistance system. The tracking system must track multiple circuit boards without added fiducial markers, and they are manipulated by the user. We use a common SIFT feature matching detector enhanced with a probability search. This search estimates how likely a set of query descriptors belongs to a particular object. The method was realized and tested. The results show that the probability search enhanced the identification of different circuit boards." @default.
• W44128098 created "2016-06-24" @default.
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• W44128098 date "2013-01-01" @default.
• W44128098 modified "2023-09-26" @default.
• W44128098 title "Natural Feature Tracking Augmented Reality for On-Site Assembly Assistance Systems" @default.
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• W44128098 doi "https://doi.org/10.1007/978-3-642-39420-1_30" @default.
• W44128098 hasPublicationYear "2013" @default.
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