计算机应用与软件2017，Vol.34Issue(10)：118-123,6.DOI:10.3969/j.issn.1000-386x.2017.10.020
增强现实系统中电磁跟踪器注册精度校正研究
RESEARCH ON CORRECTION OF REGESTRATION ACCURACY FOR ELECTROMAGNETIC TRACKER IN AUGMENTED REALITY SYSTEM
摘要
Abstract
Aiming at the relationship among the spatial data of the electromagnetic tracker is complex and fuzzy in magnetic field,the fusion method which combined of BP neural network and least squares support vector machine based on T-S fuzzy system is proposed.This method corrects the registration accuracy of the electromagnetic trackers.First,kmeans algorithm was employed in the cluster analysis,and then T-S fuzzy system was used to pre-process the spatial data in local.Second,training was used by BP neural network in global and the training target of BP neural network was dynamically adjusted by the final correction accuracy.At last,least squares support vector machine was used for solving after preliminary correction.Our results indicate that this method is applicable to nonlinear spatial data correction,which can effectively improve the registration accuracy of electromagnetic tracker and to help improve the accuracy of an interactive system with augmented reality.关键词
增强现实/T-S模糊系统/BP神经网络/最小二乘支持向量机/电磁跟踪器校正Key words
Augmented reality/T-S fuzzy system/BP neural network/Least squares support vector machine/Electromagnetic tracker/Correction分类
信息技术与安全科学引用本文复制引用
高明柯,陈一民,张典华,蒋思宇,黄晨..增强现实系统中电磁跟踪器注册精度校正研究[J].计算机应用与软件,2017,34(10):118-123,6.基金项目
上海市科技创新行动计划项目(16511101200) （16511101200）
上海市科委国际合作项目(12510708400). （12510708400）
