Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2008.4711953
Title: Articulated registration of 3D human geometry to X-ray image
Authors: Le, S.N. 
Karlekar, J. 
Fang, A.C. 
Keywords: 3D-2D registration
Articulated registration
Human geometry segmentation
Human stick/wire model
Model-image registration
Issue Date: 2008
Source: 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
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.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/40239
ISBN: 1424417643
ISSN: 15224880
DOI: 10.1109/ICIP.2008.4711953
Appears in Collections:Staff Publications

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