基于 Marker-SLAM 的视触觉增强现实交互算法
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TH7 TP391

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国家自然科学基金(61773219,62003169)、江苏省自然科学基金青年基金(BK20200823)项目资助


Visuo-haptic augmented reality interaction algorithm based on Marker-SLAM
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    摘要:

    视触觉增强现实是将触觉感知加入到增强现实中的一种新技术。 不仅可以融合真实场景和虚拟对象,还能实现视觉和 触觉的同步感知。 基于 3D Systems Touch 触觉设备提出一种新的视触觉交互算法。 首先,基于 Marker-SLAM 算法搭建增强现 实环境,用于实时获得相机在地图中的位姿;其次,为了将触觉信息融入到增强现实环境中,提出基于无跟踪器的触控笔尖端姿 态优化算法;最后,分别采集测量点在触觉和世界坐标系中的三维信息,通过确定两个坐标系间的刚性变换,将触觉设备的正向 运动模型映射到增强现实空间中。 所提出的跟踪注册方法的注册准确率均达到 90% 以上,与基于跟踪器的方法相比,所提出的 姿态优化算法获得的校正位置的平均误差为 2. 3±0. 2 mm。

    Abstract:

    The visuo-haptic augmented reality is a new technology that adds haptic perception to augmented reality, which helps to realize the integration of real scenes and virtual objects, as well as the synchronization of vision and touch. This article proposes a new visuohaptic interaction algorithm based on the 3D Systems Touch haptic device. Firstly, an augmented reality environment built on the Marker-SLAM algorithm is adopted to obtain positions and poses of the camera in the map in real time. Secondly, to integrate haptic information into the augmented reality environment, a tracker-free stylus tip pose optimization algorithm is proposed. Finally, the 3D information of the measurement points in the haptic and world coordinate systems is collected respectively. The forward motion model of the haptic device is mapped into the augmented reality space by determining the rigid transformation between the two coordinate systems. The registration accuracy of the tracking registration methods proposed in this article is all above 90% . Different from the tracker-based method, the average error of the corrected position obtained by the pose optimization algorithm in this article is 2. 3±0. 2 mm.

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刘 佳,徐 闯,陈大鹏,钱昌宇,石 豪.基于 Marker-SLAM 的视触觉增强现实交互算法[J].仪器仪表学报,2022,43(8):26-38

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  • 在线发布日期: 2023-02-06
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