Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICIP.2008.4711953
DC Field | Value | |
---|---|---|
dc.title | Articulated registration of 3D human geometry to X-ray image | |
dc.contributor.author | Le, S.N. | |
dc.contributor.author | Karlekar, J. | |
dc.contributor.author | Fang, A.C. | |
dc.date.accessioned | 2013-07-04T07:59:46Z | |
dc.date.available | 2013-07-04T07:59:46Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Le, 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.isbn | 1424417643 | |
dc.identifier.issn | 15224880 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/40239 | |
dc.description.abstract | A 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.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICIP.2008.4711953 | |
dc.source | Scopus | |
dc.subject | 3D-2D registration | |
dc.subject | Articulated registration | |
dc.subject | Human geometry segmentation | |
dc.subject | Human stick/wire model | |
dc.subject | Model-image registration | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1109/ICIP.2008.4711953 | |
dc.description.sourcetitle | Proceedings - International Conference on Image Processing, ICIP | |
dc.description.page | 1108-1111 | |
dc.identifier.isiut | 000265921400278 | |
Appears in Collections: | Staff Publications |
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