In this work we propose a new approach that is not already mentioned in the literature to correct the multi-path interference phenomenon which occurs in time-of-flight cameras. We introduce a deep learning approach to learn the typical reflection structure of the light in a real environment and use it as strong prior to estimate the shape of the time-dependent scene impulse response, called backscattering vector.
Deep Learning Techniques for Backscattering Vector Estimation in ToF Data
Buratto, Enrico
2020/2021
Abstract
In this work we propose a new approach that is not already mentioned in the literature to correct the multi-path interference phenomenon which occurs in time-of-flight cameras. We introduce a deep learning approach to learn the typical reflection structure of the light in a real environment and use it as strong prior to estimate the shape of the time-dependent scene impulse response, called backscattering vector.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/28838