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Accurate Human Body Reconstruction for Volumetric Video
[article]
2022
arXiv
pre-print
In this work, we enhance a professional end-to-end volumetric video production pipeline to achieve high-fidelity human body reconstruction using only passive cameras. While current volumetric video approaches estimate depth maps using traditional stereo matching techniques, we introduce and optimize deep learning-based multi-view stereo networks for depth map estimation in the context of professional volumetric video reconstruction. Furthermore, we propose a novel depth map post-processing
arXiv:2202.13118v1
fatcat:nz53fexmkfbifejr3f6fj2ke2e