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4D Cloud Scattering Tomography

2021-01-01 · ICCV 2021 10 · Roi Ronen, Yoav Y. Schechner, Eshkol Eytan

We derive computed tomography (CT) of a time-varying volumetric scattering object, using a small number of moving cameras. We focus on passive tomography of dynamic clouds, as clouds have a major effect on the Earth's climate. State of the art scattering CT assumes a static object. Existing 4D CT methods rely on a linear image formation model and often on significant priors. In this paper, the angular and temporal sampling rates needed for a proper recovery are discussed. Spatiotemporal CT is achieved using gradient-based optimization, which accounts for the correlation time of the dynamic object content. We demonstrate this in physics-based simulations and on experimental real-world data.

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ronenroi/4D-Cloud-Scattering-Tomography 공식 구현 tf

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Computed Tomography (CT)Object

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