从物体的平面图像重建其真实坐标的方法

V. Nesterov, V. Mukhin, D. Nesterov
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引用次数: 0

摘要

提出了一种从运动物体的平面图像中重建其真实坐标的原始方法。该方法使用多维测试对象,其参数为度量值,并且具有较高的精度。为了保证在真实空间中测量运动的过程,必须将被测物体与真实物体连接起来,并形成被测物体多分量运动图像的数学模型。在命名的数学模型中使用的测试对象的参数是向量。这些模型用于构建测量方程系统,其解给出运动物体在三维空间中的所需分量运动。在特制的支架上对该方法进行了试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method for reconstructing the real coordinates of an object from its plane image
Original method of reconstructing the real coordinates of moving objects from their plane images is presented. The method uses multidimensional test objects whose parameters are measures and which are known with high accuracy. In order to ensure the process of measuring movements in real space a test object must be connected with a real object and mathematical models of images of multicomponent movements of a test object must be formed. The parameters of test objects that are used in the named mathematical models are vectors. Such models are used in the construction of systems of measurement equations the solution of which gives the desired components movements of a moving object in 3D space. The method was experimentally tested on specially created stand.
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