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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/146189
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dc.titleSpatial images localization using SIFT features tracking
dc.contributor.authorLin T.-H.
dc.contributor.authorChan Y.-J.
dc.contributor.authorJia Z.
dc.contributor.authorChen T.
dc.date.accessioned2018-08-21T05:01:53Z
dc.date.available2018-08-21T05:01:53Z
dc.date.issued2009
dc.identifier.citationLin T.-H., Chan Y.-J., Jia Z., Chen T. (2009). Spatial images localization using SIFT features tracking. 2009 International Display Manufacturing Conference, 3D Systems and Applications, and Asia Display, IDMC/3DSA/Asia Display 2009. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/146189
dc.description.abstractWe have developed a spatial images localization method for successive images. In our method, SIFT features are determined, and their correspondences are built as feature trajectories. And, we use triangulation to roughly build 3D's relationship among feature trajectories. Then, an optimization method based on sparse bundle adjustment is implemented. Finally, images' spatial poses and orientations are recovered.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentOFFICE OF THE PROVOST
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.sourcetitle2009 International Display Manufacturing Conference, 3D Systems and Applications, and Asia Display, IDMC/3DSA/Asia Display 2009
dc.published.statepublished
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