Please use this identifier to cite or link to this item:
https://doi.org/10.1109/CVPR.2008.4587742
DC Field | Value | |
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dc.title | Volumetric reconstruction from multi-energy single-view radiography | |
dc.contributor.author | Le, S.N. | |
dc.contributor.author | Mei, K.L. | |
dc.contributor.author | Banu, S. | |
dc.contributor.author | Fang, A.C. | |
dc.date.accessioned | 2013-07-04T07:59:42Z | |
dc.date.available | 2013-07-04T07:59:42Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Le, S.N.,Mei, K.L.,Banu, S.,Fang, A.C. (2008). Volumetric reconstruction from multi-energy single-view radiography. 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/CVPR.2008.4587742" target="_blank">https://doi.org/10.1109/CVPR.2008.4587742</a> | |
dc.identifier.isbn | 9781424422432 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/40236 | |
dc.description.abstract | We address the volumetric reconstruction problem that takes as input a series of orthographic multi-energy x-ray images, producing as output a reconstructed model space consisting of uniform-size mass density voxels. Our approach solves the nonlinear constrained optimization formulation problem by constructing a compliant estimate of volumetric distribution, subject to projective and domain constraints, and minimizes variational irregularities. To resolve the inherent ambiguities of single-view formulation, an optional shape model may be introduced to aid the reconstruction process. We demonstrate our method's practical usage as a new in-vivo method for estimating three-dimensional body segmental compositions, and compare its results with those of existing methods. ©2008 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CVPR.2008.4587742 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1109/CVPR.2008.4587742 | |
dc.description.sourcetitle | 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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