PS $^{2}$ F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing
PS $^{2}$ F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing
复制标题
PS $^{2}$ F:用于单次 3D 传感的偏振螺旋点扩展函数
DOI:
10.1109/tpami.2022.3202511
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发表时间:
2022
影响因子:
23.6
通讯作者:
Veeraraghavan, Ashok
中科院分区:
文献类型:
--
作者:
Ghanekar, Bhargav;Saragadam, Vishwanath;Mehra, Dushyant;Gustavsson, Anna-Karin;Sankaranarayanan, Aswin C.;Veeraraghavan, Ashok
We propose a compact snapshot monocular depth estimation technique that relies on an engineered point spread function (PSF). Traditional approaches used in microscopic super-resolution imaging such as the Double-Helix PSF (DHPSF) are ill-suited for scenes that are more complex than a sparse set of point light sources. We show, using the Cramér-Rao lower bound, that separating the two lobes of the DHPSF and thereby capturing two separate images leads to a dramatic increase in depth accuracy. A special property of the phase mask used for generating the DHPSF is that a separation of the phase mask into two halves leads to a spatial separation of the two lobes. We leverage this property to build a compact polarization-based optical setup, where we place two orthogonal linear polarizers on each half of the DHPSF phase mask and then capture the resulting image with a polarization-sensitive camera. Results from simulations and a lab prototype demonstrate that our technique achieves up tolower depth error compared to state-of-the-art designs including the DHPSF and the Tetrapod PSF, with little to no loss in spatial resolution.