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《Journal of Mechanical Engineering》 2014-07
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Multi-source Data Fusion Based on Iterative Deformation

XU Zhi;DAI Ning;ZHANG Changdong;SONG Yinglong;SUN Yuchun;YUAN Fusong;College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics;National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking UniversitySchool and Hospital of Stomatology;  
Accurately building 3D model by obtained data directly affects the subsequent design and manufacturing. Nowadays there are numerous ways of data acquisition, but modelling from single source of data can't meet the demand. In order to solve the problem, a modelling method by multi-source data fusion is presented. A feature line extracting method based on heuristic search strategy is used to acquire the fusion region of fixed model. Iterative closest point registration algorithm is adopted to match the spatial position of two models. Using Laplace iterative deformation of the surface morphology, the fusion of two models is effectively achieved. CT data and optical 3D scanning model of lower jaw is adopted as data source. The experiment show that the technical route is stable and reliable and that no distortion in the fusion process. Final results reflect the real physical structure of object and 3D model has both high-precision surface and the internal structure.
【Fund】: 国家科技支撑计划(2012BAI07B04);; 国家自然科学基金(51205192 81271181);; 国家高技术研究发展计划(863计划 SS2013AA040801-02);; 南航科研基地创新基金(NJ20130015)资助项目
【CateGory Index】: TP391.41;TP202
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