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PHOTOGRAMMETRIC MEASUREMENT OF LINEAR OBJECTS WITH CCD CAMERAS - SUPER-ELASTIC WIRES IN ORTHODONTICS AS AN EXAMPLE

机译:CCD摄像机的线性对象的摄影测量 - 正牙科的超弹性电线作为示例

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This paper describes the development of an approach for nearly automatic recognition of the shape of linear objects on the example of super-elastic wires in orthodontics. This is made possible by the integration of known parameters which describe the general shape of the objects concerned. Such parameters are derived from the production process of these objects. A digital photogrammetric 3D measurement system should give a touchless measurement of the wires. The images were taken with two CCD cameras. The goal was to find specific algorithms for object recognition and to apply them to the measurement of the wires. The algorithm should guarantee an automatic extraction of edges of a linear object by model based procedures in the image. In this case, a 3D model should be derived from the parameters controlling the production process. It should be introduced into the algorithm as a base of knowledge. As a result we get new 3D coordinates of the vertices of the wires. The edge lengths and the bending and torsion angles between the vertices could be derived from these coordinates. Afterwards the results were compared with the parameters of the bending machine, and the accuracy of the photogrammetric procedure was evaluated.
机译:本文介绍了在矫正器中超弹性电线的示例上几乎自动识别线性物体形状的方法的开发。这是通过集成描述有关物体的一般形状的已知参数来实现的。这些参数来自这些对象的生产过程。数码摄影测量3D测量系统应提供电线的无舒张测量。用两个CCD摄像头拍摄图像。目标是找到用于对象识别的特定算法,并将它们应用于电线的测量。该算法应保证通过基于模型的图像中的基于模型自动提取线性对象的边缘。在这种情况下,应从控制生产过程的参数导出3D模型。它应该作为知识基础引入算法中。结果,我们获得了电线顶点的新3D坐标。顶点之间的边缘长度和弯曲和扭转角度可以源自这些坐标。之后,将结果与弯曲机的参数进行比较,评估摄影测量程序的准确性。

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