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A hybrid method for scanning laser registration using a general linear laser model

机译：使用普通线性激光模型的扫描激光配准的混合方法

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Registration, also known as pose estimation and position registration, is an essential part of the accurate quantitative analysis of velocity data obtained with a scanning laser Doppler vibrometer (SLDV). This paper presents a hybrid method of registration using a general linear laser model. The general linear laser model uses sets of slopes and intercepts rather than nonlinear functions of mirror angles to describe the spatial path of the laser beam. This simplifies registration mathematics and also allows the hybrid registration algorithm to be applied to any type of SLDV using any length unit system. The hybrid registration algorithm is comparable in accuracy to existing methods, but eliminates the need for laser rangefinders and the generation of high quality starting points in optimization. This is accomplished by using a very stable optimization based on distance between point pairs to generate a large number of potential solutions from random starting guesses, and then selecting the correct solution by means of a secondary error descriptor. Simulated and experimental validation is presented to support the effectiveness of this algorithm.
机译：配准，也称为姿态估计和位置配准，是使用扫描激光多普勒振动计（SLDV）获得的速度数据的准确定量分析的重要组成部分。本文提出了一种使用普通线性激光模型进行配准的混合方法。一般的线性激光模型使用斜率和截距集而不是镜角的非线性函数来描述激光束的空间路径。这简化了配准数学，还允许使用任何长度单位系统将混合配准算法应用于任何类型的SLDV。混合配准算法在准确性上可与现有方法媲美，但消除了对激光测距仪的需求以及优化过程中高质量起点的产生。这是通过基于点对之间的距离使用非常稳定的优化以从随机开始的猜测中生成大量潜在解，然后借助辅助错误描述符选择正确的解来实现的。提出了仿真和实验验证，以支持该算法的有效性。

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