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Document type:
Konferenzbeitrag 
Author(s):
Jung, HyunJun; Brasch, Nikolas; Leonardis, Ales; Navab, Nassir; Busam, Benjamin 
Title:
Wild ToFu : Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments 
Abstract:
Indirect Time-of-Flight (I-ToF) imaging is a widespread way of depth estimation for mobile devices due to its small size and affordable price. Previous works have mainly focused on quality improvement for I-ToF imaging especially curing the effect of Multi Path Interference (MPI). These investigations are typically done in specifically constrained scenarios at close distance, indoors and under little ambient light. Surprisingly little work has investigated I-ToF quality improvement in real-life...    »
 
Keywords:
depth estimation; time of flight; deep learning; machine learning 
Book / Congress title:
Proceedings of the IEEE International Conference on 3D Vision (3DV), 2021 
Publisher address:
80802 München 
Year:
2021