Journal or Book Title
Lecture Notes in Computer Science
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.
Oliver, et al.
Radkowski, Rafael and Oliver, James H., "Natural Feature Tracking Augmented Reality for On-Site Assembly Assistance Systems" (2013). Mechanical Engineering Publications. 132.