Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCV.2013.66
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dc.titleA global linear method for camera pose registration
dc.contributor.authorJiang, N.
dc.contributor.authorCui, Z.
dc.contributor.authorTan, P.
dc.date.accessioned2016-06-03T08:08:04Z
dc.date.available2016-06-03T08:08:04Z
dc.date.issued2013
dc.identifier.citationJiang, N., Cui, Z., Tan, P. (2013). A global linear method for camera pose registration. Proceedings of the IEEE International Conference on Computer Vision : 481-488. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCV.2013.66
dc.identifier.isbn9781479928392
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/125105
dc.description.abstractWe present a linear method for global camera pose registration from pair wise relative poses encoded in essential matrices. Our method minimizes an approximate geometric error to enforce the triangular relationship in camera triplets. This formulation does not suffer from the typical 'unbalanced scale' problem in linear methods relying on pair wise translation direction constraints, i.e. an algebraic error, nor the system degeneracy from collinear motion. In the case of three cameras, our method provides a good linear approximation of the trifocal tensor. It can be directly scaled up to register multiple cameras. The results obtained are accurate for point triangulation and can serve as a good initialization for final bundle adjustment. We evaluate the algorithm performance with different types of data and demonstrate its effectiveness. Our system produces good accuracy, robustness, and outperforms some well-known systems on efficiency. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCV.2013.66
dc.sourceScopus
dc.subjectstructure-from-motion
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICCV.2013.66
dc.description.sourcetitleProceedings of the IEEE International Conference on Computer Vision
dc.description.page481-488
dc.description.codenPICVE
dc.identifier.isiut000351830500060
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