基于Unity3D虚拟摄像系统中摄像机姿态定位  

Camera Posture Positioning of Virtual Camera System Based on Unity3D

作　　者：袁清普 石广田[2] 赵璐[1] 

机构地区：[1]兰州交通大学电子与信息工程学院,兰州730070 [2]兰州交通大学机电工程学院,兰州730070

出　　处：《计算机系统应用》2016年第7期225-229,共5页Computer Systems & Applications

摘　　要：随着虚拟现实技术的蓬勃发展,虚拟摄像系统的研究亦炙手可热.虚拟摄像系统的使用,使电视节目和电影电视特效等的制作踏上一个前所未有的新台阶.然而在虚拟摄像系统的研究与使用过程中,虚实摄像机运动姿态的同步一直是难以解决的的关键问题,即MEMS传感器在测量过程中会产生噪声影响,其精确度有待提高.为解决这一问题,拟基于Unity3D平台,使用C#脚本编程语言,开发一套实时虚拟摄像系统,着重研究虚实摄像机姿态同步融合技术,选用卡尔曼滤波技术对传感器数据进行滤波处理,减少噪声影响.研究结果显示,此虚拟摄像系统中虚实摄像机的运动姿态的同步运动能够满足电视节目录制与电影电视特效制作等的需求.With the vigorous development of virtual reality technology, the research of virtual camera system has been placed more and more attention. Making television programs and film special effects embark on an unprecedented new level, because of using the virtual camera system. However, in the study and use of virtual camera system, the actual situation of the synchronization camera motion attitude is a key issue to resolve, namely the MEMS sensor will generate noise in the measurement process, and it is necessary to improve the accuracy. In order to resolve the problem, a real-time virtual camera system that based on Unity3D and using C#. The system focuses on the technology of synchronous fusion that basedon the posture of entitative camera and virtual camera. In order to reduce noise, Kalman filtering technique is used to filter the sensor data. The result shows that the virtual camera＇s synchronized movement can meet the needs of TV recording and film special effects in this virtual camera system.

关 键 词：UNITY3D 虚拟摄像 MEMS传感器 卡尔曼滤波 运动姿态 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]