Article
Natural Feature Tracking Augmented Reality for On-Site Assembly Assistance Systems
Lecture Notes in Computer Science
Document Type
Article
Publication Date
1-1-2013
DOI
10.1007/978-3-642-39420-1_30
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.
Copyright Owner
Oliver, et al.
Copyright Date
2013
Language
en
File Format
application/pdf
Citation Information
Rafael Radkowski and James H. Oliver. "Natural Feature Tracking Augmented Reality for On-Site Assembly Assistance Systems" Lecture Notes in Computer Science Vol. 8022 (2013) p. 281 - 290 Available at: http://works.bepress.com/james_oliver/48/
This is a manuscript of an article from Lecture Notes in Computer Science 8022 (2013): 281, doi:10.1007/978-3-642-39420-1_30. Posted with permission. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-39420-1_30.