工业室内环境中建立增强现实系统模型研究

Research on an augmented reality system model in the industrial indoor environment

针对增强现实(AR)技术在工业领域的应用问题,提出了一个在工业室内环境下应用的增强现实系统模型。该模型主要针对工业中不会在较短时间内发生较大变化的室内环境,首先对头盔式显示器(HMD)采集的环境图像通过Harris检测算法来检测特征点,然后通过程序比对图像在特征点添加相关注释,最后将包含注释的现实图像显示在头盔显示器上。主要介绍了该模型的具体步骤及实现方法,Harris角点检测算法具有应对光强变化、图像旋转等特点,故增加了模型整体的鲁棒性。最后将该模型应用于风力发电机机舱内部环境进行验证,其中特征点检测部分可根据阈值调节特征点数的多少,实验中采用的特征点数为20,在图像匹配部分匹配程度超过85%,实验结果表明该模型实现了增强现实的功能。

In view of the application of augmented reality(AR) technology in the industrial field, an augmented reality system model used in the industrial indoor environment is proposed. The model is mainly for the industry that will not change dramatically in a short period of time in the indoor environment. First, the characteristic points are detected by the Harris detection algorithm on the environmental images collected by the HMD, namely the helmet-mounted display, then the program compares the images to add relevant annotations at the feature points, finally displays the real image containing the annotations on the head-mounted display. This paper mainly introduces the specific steps and implementation methods of the model. The Harris corner detection algorithm has the characteristics of dealing with the change of light intensity and image rotation, thus increasing the robustness of the whole model. The model is applied to the wind turbine nacelle internal environment to verify the feature point detection section according to the feature points by many experimental threshold adjustment feature points in 20, in the part of image matching, more than 85%, the experimental results show that the model achieves the function of augmented reality.