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Depth from diffracted rotation

机译：衍射旋转的深度

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摘要

The accuracy of depth estimation based on defocus effects has been essentially limited by the depth of field of the imaging system. We show that depth estimation can be improved significantly relative to classical methods by exploiting three-dimensional diffraction effects. We formulate the problem by using information theory analysis and present, to the best of our knowledge, a new paradigm for depth estimation based on spatially rotating point-spread functions (PSFs). Such PSFs are fundamentally more sensitive to defocus thanks to their first-order axial variation. Our system acquires a frame by using a rotating PSF and jointly processes it with an image acquired by using a standard PSF to recover depth information. Analytical, numerical, and experimental evidence suggest that the approach is suitable for applications such as microscopy and machine vision.
机译：基于散焦效果的深度估计的准确性已受到成像系统景深的限制。我们表明，通过利用三维衍射效应，相对于经典方法，深度估计可以得到显着改善。我们使用信息理论分析来阐述问题，并据我们所知，提出一种基于空间旋转点扩展函数（PSF）的深度估计的新范例。由于它们的一阶轴向变化，此类PSF从根本上对散焦更敏感。我们的系统通过使用旋转的PSF来获取帧，并将其与通过使用标准PSF所获取的图像进行联合处理以恢复深度信息。分析，数值和实验证据表明，该方法适用于显微镜和机器视觉等应用。

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