54 citations · 90 across the 15 of their papers we have counts for
4 papers · 1 filter
3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields
Yael Sde-Chen, Yoav Y. Schechner, Vadim Holodovsky +1
We present 3DeepCT, a deep neural network for computed tomography, which performs 3D reconstruction of scattering volumes from multi-view images. Our architecture is dictated by th…
Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms
Roi Ronen, Yoav Y. Schechner, Eshkol Eytan
We derive computed tomography (CT) of a time-varying volumetric translucent object, using a small number of moving cameras. We particularly focus on passive scattering tomography,…
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size
Aviad Levis, Yoav Y. Schechner, Anthony B. Davis +1
Tomography aims to recover a three-dimensional (3D) density map of a medium or an object. In medical imaging, it is extensively used for diagnostics via X-ray computed tomography (…
Image compression optimized for 3D reconstruction by utilizing deep neural networks
Alex Golts, Yoav Y. Schechner
Computer vision tasks are often expected to be executed on compressed images. Classical image compression standards like JPEG 2000 are widely used. However, they do not account for…