At present, commonly used measurement methods for landslide model pay much attention to the measurement of global displacement without a detailed description of individual components. However, the multi-attitude data concerning the model of bedding rock slope lay the data foundation for describing the mechanism of landslide. In an attempt to obtain the 3D multi-attitude displacement data, this paper, based on the binocular stereo vision as the measurement tool, adopts the cyclic coded targets to follow the unique track of rock block trajectory. Furthermore, a combination of circular coded targets and assisted location marks is designed to obtain the spatial displacement and rotation angle of rock mass center implicitly through the local coordinate system. Finally, the data such as speed, accelerated speed are acquired in accordance with the relationship of time domain and spatial domain. The experiment results show that this paper provides an effective method for the collection of elaborate and accurate landslide data of the bedding rock slope model.

中文翻译：

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层理岩坡模型滑坡多姿态数据测量

目前常用的滑坡模型测量方法多关注全局位移的测量，没有对单个分量进行详细描述。而层理岩质边坡模型的多姿态数据为描述滑坡机理奠定了数据基础。为了获取3D多姿态位移数据，本文以双目立体视觉为测量工具，采用循环编码目标跟随岩块轨迹的唯一轨迹。此外，设计了圆形编码目标和辅助定位标记的组合，通过局部坐标系隐式获取岩体中心的空间位移和旋转角度。最后，速度等数据，根据时域和空间域的关系获得加速度。实验结果表明，本文为层理岩质边坡模型精细、准确的滑坡数据采集提供了一种有效的方法。