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机构地区:[1]中国科学院文献情报中心,北京100190 [2]中国科学院自动化研究所,北京100190
出 处:《系统仿真学报》2017年第7期1419-1427,共9页Journal of System Simulation
基 金:国家自然科学基金(61332017;61571400);国家863计划(2015AA016402);国家科技支撑计划(2012BAH42F02)
摘 要:为扩展增强现实中标识物识别的距离,利用Open CV,Open GL以及Kinect API,构建基于深度传感器的远距离跟踪注册技术,开发了基于PC平台的远距离增强现实系统。Kinect结合摄像头构成追踪系统,改进了一般摄像头在远距离识别所存在的不足,实现了人机交互的增强现实。通过对姿态标定模块、无标记虚实注册模块、自然交互模块等主要功能模块实现的描述。实验验证了该系统的实时性、稳定性和有效性,同时该系统为增强现实无法远距离识别的问题提供了一种解决方案。To get long distance marker recognition in Augmented Reality, three software development toolkits were used to construct the long distance marker-less registration technology based on depth sensor, and develop a new augmented reality system based on PC platform. The tracking system was constructed by Kinect and camera. Defects in the single camera tracking system for long distance tracking were improved, and human-computer interaction in Augmented Reality was realized. By the detailed description of the main function modules, such as position calibration module, maker-less virtual-real registration module, and natural interaction module, the system design concept was introduced. Experiment results show that the system can provide real-time, stable and effective performance, and solve the long distance recognition issue.
关 键 词:空间增强现实 远距离无标记注册 远距离系统平台 自然交互
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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