基于小波变换和Kalman滤波的虚拟人空间位置处理

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (1): 213-219.

基于小波变换和Kalman滤波的虚拟人空间位置处理

梁丰, 张志利, 李向阳, 汤志波

第二炮兵工程大学兵器发射理论与技术国家重点学科实验室,西安 710025

收稿日期:2014-06-04 修回日期:2014-08-11 发布日期:2020-07-02
作者简介:梁丰(1987-), 男, 湖北天门, 博士生, 研究方向为导弹发射系统总体与仿真; 张志利(1966-), 男, 河南濮阳, 教授, 博导, 研究方向为导弹发射系统总体与仿真; 李向阳(1984-), 男, 河南汝州, 讲师, 博士, 研究方向为导弹发射系统总体与仿真。

Processing Method of Space Locations of Virtual Human Based on Wavelet Transform and Kalman Filter

Liang Feng, Zhang Zhili, Li Xiangyang, Tang Zhibo

State Key Discipline Laboratory of Armament Launch Theory and Technology, The Second Artillery Engineering University, Xi'an 710025, China

Received:2014-06-04 Revised:2014-08-11 Published:2020-07-02

摘要/Abstract

摘要： 为了实现对虚拟人运动过程的有效控制,针对光学运动捕捉设备捕获的虚拟人空间位置数据平滑性不足和加速度误差大的问题,在剔除了运动数据中错误点的基础上,提出了采用基于小波变换和Kalman滤波的空间位置信息处理方法,通过采用基于小波变换的滤波处理方法获取主要的加速度信息,再基于弱跟踪Kalman滤波技术实现对空间位置坐标和加速度信息的修正和平滑处理。与Kalman滤波方法相比,该方法可获得更为准确和平滑的虚拟人体空间位置和加速度位置信息,为进一步分析虚拟人的运动过程、判断虚拟人操作动作提供了更准确的信息保障。

关键词: 光学运动捕捉设备, 虚拟人空间位置信息, 小波阈值去噪, 弱跟踪Kalman滤波

Abstract: For the problem of inadequate smoothness of space location coordinate and large error of acceleration information, a processing method based on wavelet transform and Kalman filter was proposed to realize the valid control of virtual human' motion process after eliminating error points of motion data. Main acceleration information could be achieved based on the filter method of wavelet transform, and weak tracking Kalman filter was introduced to realize the amendment and smoothness of space location coordinates and acceleration information. Compared to the conventional Kalman filter method, the proposed method could achieve more exact and smooth space location and acceleration information of virtual human and provide a more accurate information guarantee for further analysis of virtual human' motion process and estimation of virtual human' operating actions.

Key words: optical motion capture equipment, space location information of virtual human, wavelet threshold denoising, weak tracking Kalman filter

中图分类号:

TP391.9

梁丰, 张志利, 李向阳, 汤志波. 基于小波变换和Kalman滤波的虚拟人空间位置处理[J]. 系统仿真学报, 2016, 28(1): 213-219.

Liang Feng, Zhang Zhili, Li Xiangyang, Tang Zhibo. Processing Method of Space Locations of Virtual Human Based on Wavelet Transform and Kalman Filter[J]. Journal of System Simulation, 2016, 28(1): 213-219.

参考文献

[1] 潘志庚, 吕培, 徐明亮, 等. 低维人体运动数据驱动的角色动画生产方法综述[J]. 计算机辅助设计与图形学学报, 2013, 25(12): 1775-1783.
[2] 刘登志, 卢书芳, 万贤美. 实时三维人体卡通运动的设计与实现[J]. 计算机辅助设计与图形学学报, 2011, 23(6): 985-992.
[3] Wang Chengfeng, Ma Qin, Zhu Dehai, et al.Real-time control of 3D virtual human motion using a depth-sensing camera for agricultural machinery training[J]. Mathematical and Computer Modelling (S0895-7177), 2013, 58: 782-789.
[4] Jane Hwang, Gerard J Kim.Provision and maintenance of presence and immersion in hand-held virtual reality through motion based interaction[J]. Computer Animation and Virtual Worlds (S1546-4261), 2010, 21: 547-559.
[5] Shin H J, Lee J, Shin S Y, et al.Computer puppetry: an importance-based approach[J]. ACM Transactions on Graphics (S0730-0301), 2001, 20(2): 67-94.
[6] Lou H, Chai J.Example-based human motion denoising[J]. IEEE Transactions on Visualization and Computer Graphics (S1077-2626), 2010, 16(5): 870-879.
[7] 容志能. 惯性运动捕捉系统中传感数据的传输与处理[D]. 杭州: 浙江大学, 2012.
[8] Shi Pingan, Ye Jiawei.Measured data processing method for relative motions between two side-by-side ships[J]. TELKOMNIKA: Indonesian Journal of Electrical Engineering (S1693-6930), 2013, 11(1): 73-82.
[9] Lin Hongwei.Adaptive data fitting by the progressive- iterative approximation[J]. Computer Aided Geometric Design (S0167-8396), 2012, 29(7): 463-473.
[10] 邱世广, 周德吉, 范秀敏, 等. 虚拟操作仿真环境中基于运动捕捉的虚拟人实时控制技术[J]. 计算机集成制造系统, 2013, 19(3): 523-528.
[11] Alessandra Martins Coelho, Vania Vieira Estrela.Data-driven motion estimation with spatial adaptation[J]. International Journal of Image Processing (S1985-2304), 2012, 6(1): 54-67.
[12] 吴升, 张强, 肖伯祥, 等. 一种有效的光学运动捕捉数据处理方法[J]. 应用基础与工程科学学报, 2009, 17(5): 790-798.
[13] 魏小鹏, 刘瑞, 张强, 等. 基于模板匹配的人体运动捕捉数据处理方法[J]. 系统仿真学报, 2010, 22(10): 2368-2372.
[14] 侯永隆, 宁涛, 王可. 基于光学运动捕捉的虚拟人体标定技术[J]. 图学学报, 2013, 34(5): 126-131.
[15] 王军, 胡永刚, 韩崇昭. 被动式光学运动捕捉系统丢点检测与补偿[J]. 系统工程与电子技术, 2012, 12(34): 2374-2378.
[16] 赵葵, 芮延年, 陈欢, 等. 基于小波变换的数据运动捕捉在虚拟人运动建模中的应用[J]. 苏州大学学报(工科版), 2006, 26(4): 45-48.