摘要
系统采用数码摄像机实时采集飞机座舱的视频图像,采用图像识别技术识别出用户所关注的座舱设备部件,进而将该设备所对应的相关训练信息显示在头盔显示器上。该系统的设计包括硬件与软件两个部分,硬件设计是集成USB数码摄像机、微型头盔显示器、穿戴式计算机及辅助供电模块为移动式增强现实系统;软件设计主要包括建立座舱仪表模板库、建立辅助信息库及运用基于OpenCV(Intel open source computer vision library)的SURF(speeded up robust features)算法来实现特征匹配。实验证明该系统能够实时为用户提供训练信息,辅助用户完成训练任务。
The system uses digital camera to collect video images of cockpit real-time, applies the technology of digital image recognition to find which component that the user is interested in, then displays the corresponding training information on HMD（head-mounted-display）. The design of this system includes the parts of hardware and software. The design of hardware is integrating USB digital camera, mini HMD, wearable computer and assistant power module into a moveable augmented reality system;the design of software consists of the creation of the cockpit template library, the creation of the aided information library and the implementation of SURF（ speeded up robust features） image feature match algorithm based on OpenCV（ intel open source computer vision library）. The experiment demonstrates this system can provide the training information real-time for the user to accomplish the training tasks.
出处
《激光与红外》
CAS
CSCD
北大核心
2010年第3期277-281,共5页
Laser & Infrared
基金
装备维修改革专项基金资助
