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《Acta Aeronautica Et Astronautica Sinica》 2002-03
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WU Dian liang, HUANG Hai liang, DING Yu cheng, ZHAO Wan hua (Institute of Advanced Manufacturing Technology, Xi′an Jiaotong University, Xi′an\ 710049, China)  
The iterative closest point (ICP) surfaces matching algorithm based on the least square criterion leads to biggish errors when there are local high distortions in the surface to be valued. A new algorithm based on Genetic Algorithm and least square criterion were proposed in this paper. To insure the result be a global optimization, a Genetic Algorithm was used to get an appropriate initial position. With the result of ICP algorithm, an error threshold was constructed to filtrate the points set, in this way, the local high distortions points were eliminated, and then the transform matrix was gotten. Transforming the initial points set with the matrix, a perfect matching result could be achievied. The following examples showed that the matching results were better than those of the routine ICP method.
【Fund】: 20 0 0年全国高等学校优秀博士论文专项资金资助 项目 (2 0 0 0 2 6)
【CateGory Index】: O241.5
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