Modified Parallel Differential Evolution Algorithm with Local Spectral Feature to Solve Data Registration Problems

摘要：

A novel parallel 3-D point data registration algorithm based on differential evolution with local geometric feature on GPU architecture was proposed. Firstly, feature points were extracted by local spectral descriptor from original data sets, and then correspondence between them was computed, at last, transformation matrix was calculated witch differential evolution strategy. In order to improve the matching speed of large amount of data, this registration algorithm was implemented in parallel pattern on GPU. The speed comparison and noise simulation experiments show that this algorithm is efficient and robust against noise.

关键词： Data Matching Spectral Feature Differential Evolution GPU

作者: Cheng Xiao Wei iming

作者单位: School of Information Science&Technology Jiujiang University JuJiang, China

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 1386-1389

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）