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Depth from focus based on combinatorial optimization

机译:基于组合优化的焦点深度

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摘要

Depth from focus (DFF) is a technique to estimate the depth and 3D shape of an object from a sequence of images obtained at different focus settings. The DFF is presented as a combinatorial optimization problem. After the estimate of the initial depth map solution of an object, the algorithm updates the depth map iteratively from the specially defined neighborhood. The results of the proposed DFF algorithm have shown significant improvements in both the accuracy of the depth map estimation and the computational complexity, with respect to the existing DFF methods.
机译:焦点深度(DFF)是一种根据在不同焦点设置下获得的图像序列估算对象的深度和3D形状的技术。 DFF是作为组合优化问题提出的。在估计了对象的初始深度图解决方案之后,该算法会从专门定义的邻域迭代更新深度图。相对于现有的DFF方法,所提出的DFF算法的结果在深度图估计的准确性和计算复杂性方面都显示出显着的改进。

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