DocumentCode :
2468948
Title :
Surface orientation driven 3D rigid registration method
Author :
Li, Guangxu ; Kim, Hyoungseop ; Tan, Joo Kooi ; Ishikawa, Seiji
Author_Institution :
Kyushu Inst. of Technol., Kitakyushu, Japan
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
1418
Lastpage :
1421
Abstract :
In this paper, we propose a new surface-based method to solve the rotation transformation of 3D rigid registration. Different from the criterion that minimize the sum of the squares of the errors between the corresponding parts of objects, here we estimate the spatial modalities of objects by their orientations. In details, Gauss map of surface is introduced to measure the distribution of surface curvature. To depict the characters of surface, we add sign weights to Gauss sphere according to the local total curvature. The stereographic projection is utilized to transform the spherical statistics to bifacial plane. As well, an optimization solution is done by iterated algorithm. We applied our proposed method on lung triangular surface registration. The experiments were completed by mutual information of block statistic.
Keywords :
computational geometry; image registration; iterative methods; lung; medical image processing; stereo image processing; Gauss map; Gauss sphere; bifacial plane; block statistic; iterated algorithm; lung triangular surface registration; medical images registration technology; medical imaging; rotation transformation; spatial modality elimination; spherical statistics; stereographic projection; sum-of-the-squares minimization; surface curvature distribution measurement; surface orientation driven 3D rigid registration method; surface-based method; Biomedical imaging; Face; Lungs; Robustness; Shape; Surface treatment; Training; Gauss map; rigid registration; stereographic projection; surface orientation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6377933
Filename :
6377933
Link To Document :
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