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Direct analytical methods for solving Poisson equations in computer vision problems

机译:解决计算机视觉问题中的泊松方程的直接解析方法

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摘要

Direct analytical methods are discussed for solving Poisson equations of the general form Delta u=f on a rectangular domain. Some embedding techniques that may be useful when boundary conditions (obtained from stereo and occluding boundary) are defined on arbitrary contours are described. The suggested algorithms are computationally efficient owing to the use of fast orthogonal transforms. Applications to shape from shading, lightness and optical flow problems are also discussed. A proof for the existence and convergence of the flow estimates is given. Experiments using synthetic images indicate that results comparable to those using multigrid can be obtained in a very small number of iterations.
机译:讨论了在矩形域上求解一般形式为Delta u = f的泊松方程的直接解析方法。描述了在任意轮廓上定义边界条件(从立体和遮挡边界获得)时可能有用的一些嵌入技术。由于使用了快速正交变换,因此建议的算法在计算上是有效的。还讨论了从阴影,亮度和光流问题到成形的应用。给出了流量估计的存在性和收敛性的证明。使用合成图像进行的实验表明,可以通过很少的迭代次数获得与使用多重网格的结果相当的结果。

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