查询结果:   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.
中文标题
增强现实系统中电磁跟踪器注册精度校正研究
发表栏目
应用技术与研究
摘要点击数
718
英文标题
RESEARCH ON CORRECTION OF REGESTRATION ACCURACY FOR ELECTROMAGNETIC TRACKER IN AUGMENTED REALITY SYSTEM
作 者
高明柯 陈一民 张典华 蒋思宇 黄晨 Gao Mingke Chen Yimin Zhang Dianhua Jiang Siyu Huang Chen
作者单位
上海大学计算机工程与计算科学学院 上海 200444 上海大学数码艺术学院 上海 201800 湖南科技大学数学与计算科学学院 湖南 湘潭 411201   
英文单位
School of Computer Engineering and Science,Shanghai University,Shanghai 200444,China College of Digital Arts,Shanghai University,Shanghai 201800,China School of Mathematics and Computing Science,Hunan University of Science and Technology,Xiangtan 411201,Hunan,China   
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
Keywords
Augmented reality T-S fuzzy system BP neural network Least squares support vector machine Electromagnetic tracker
基金项目
上海市科技创新行动计划项目(16511101200);上海市科委国际合作项目(12510708400)
作者资料
高明柯,讲师,主研领域:增强现实,手势交互,数据可视化。陈一民,教授。张典华,讲师。蒋思宇,硕士生。黄晨,博士生。 。
文章摘要
针对电磁跟踪器磁场空间数据之间的复杂的模糊关系,提出基于T-S模糊系统的BP神经网络和最小二乘支持向量机相融合的方法对电磁跟踪器的注册精度进行校正。方法首先采用K-means对空间数据进行聚类分析,随后在局部上采用T-S模糊系统进行预处理,再从全局上利用BP神经网络进行训练,根据最终校正精度动态调整BP神经网络的训练目标,初步校正后再采用最小二乘支持向量机进行求解。实验结果表明,该方法适用于非线性空间数据校正,能有效提高电磁跟踪器的注册精度,有助于提高增强现实系统的交互精度。
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, k-means 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.
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