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Design of algorithm of inverse viewing transformation with using multistage correlation analysis of stereoimage

机译:基于立体图像多级相关分析的逆视变换算法设计

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Today, according to product automatisation systems, which are used for building of three dimension models of technological environment, enginery and machinery, became widespread. Many modern fast - acting scanning laser systems are used only in unmanned situations because of danger for human. It means development of passiv optical systems of three - dimensional vision. In this work algorithm of inverse viewing transformation is suggested, which based on determination unknown parameters of system of equations for point in three - dimensional space: v(x, y, z) = (ρ1, ρ2, ϕ1, ϕ2, θ1, θ2, d)· w(x1, x2, y1, y2), where w - vector of screen coordinates, v - vector of coordinates of point in three - dimensional space, A - generalized matrix of rotation and transfer [1]. Common area of images is detected using correlation analysis [2, 3] with optimization of computational complexity and growing of data accuracy on each step of calculation of correlation function of images of object.
机译:如今,根据用于构建技术环境,发动机和机械的三维模型的产品自动化系统,这种方法已经普及。由于对人类的危害,许多现代的快速作用扫描激光系统仅在无人驾驶的情况下使用。这意味着要开发三维视觉的无源光学系统。在这项工作中,提出了逆视图变换算法,该算法基于确定三维空间中点的方程组的未知参数:v(x,y,z)=(ρ 1 ,ρ 2 ,ϕ 1 ,ϕ 2 ,θ 1 ,θ 2 ,d )·w(x 1 ,x 2 ,y 1 ,y 2 ),其中w-的向量屏幕坐标,v-三维空间中点的坐标矢量,A-旋转和转移的广义矩阵[1]。使用相关分析[2,3]检测图像的公共区域,并在计算对象图像的相关函数的每个步骤中优化计算复杂度并提高数据准确性。

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