Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2008.4711953
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dc.titleArticulated registration of 3D human geometry to X-ray image
dc.contributor.authorLe, S.N.
dc.contributor.authorKarlekar, J.
dc.contributor.authorFang, A.C.
dc.date.accessioned2013-07-04T07:59:46Z
dc.date.available2013-07-04T07:59:46Z
dc.date.issued2008
dc.identifier.citationLe, S.N., Karlekar, J., Fang, A.C. (2008). Articulated registration of 3D human geometry to X-ray image. Proceedings - International Conference on Image Processing, ICIP : 1108-1111. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2008.4711953
dc.identifier.isbn1424417643
dc.identifier.issn15224880
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40239
dc.description.abstractA fully automatic 3D-2D articulated registration algorithm for aligning a whole-body human geometry to a 2D X-ray image is presented. Domain prior in the form of a hierarchical model encapsulating the kinematic structure of the human body is exploited. A deformation operator is then defined with respect to the hierarchical model. An iterative search using ICP is performed to estimate the optimal deformation parameters. Empirical results indicate good matching rates of 94% and above. Requiring minimal user intervention, the method is suited for large-scale data acquisition in human anthropometric studies. © 2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICIP.2008.4711953
dc.sourceScopus
dc.subject3D-2D registration
dc.subjectArticulated registration
dc.subjectHuman geometry segmentation
dc.subjectHuman stick/wire model
dc.subjectModel-image registration
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICIP.2008.4711953
dc.description.sourcetitleProceedings - International Conference on Image Processing, ICIP
dc.description.page1108-1111
dc.identifier.isiut000265921400278
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