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In-situ multi-scattering tomography | | Vadim Holodovsky
; Yoav Y. Schechner
; Anat Levin
; Aviad Levis
; Amit Aides
; | | Date: |
7 Dec 2015 | | Abstract: | To recover the three dimensional (3D) volumetric distribution of matter in an
object, images of the object are captured from multiple directions and
locations. Using these images tomographic computations extract the
distribution. In highly scattering media and constrained, natural irradiance,
tomography must explicitly account for off-axis scattering. Furthermore, the
tomographic model and recovery must function when imaging is done in-situ, as
occurs in medical imaging and ground-based atmospheric sensing. We formulate
tomography that handles arbitrary orders of scattering, using a monte-carlo
model. Moreover, the model is highly parallelizable in our formulation. This
enables large scale rendering and recovery of volumetric scenes having a large
number of variables. We solve stability and conditioning problems that stem
from radiative transfer (RT) modeling in-situ. | | Source: | arXiv, 1512.2110 | | Services: | Forum | Review | PDF | Favorites | |
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