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arXiv · 2202.13118

Accurate Human Body Reconstruction for Volumetric Video

Decai Chen·Markus Worchel·Ingo Feldmann·Oliver Schreer·Peter Eisert
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Abstract

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 approach including filtering and fusion, by taking into account photometric confidence, cross-view geometric consistency, foreground masks as well as camera viewing frustums. We show that our method can generate high levels of geometric detail for reconstructed human bodies.

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Decai Chen, Markus Worchel, Ingo Feldmann, Oliver Schreer, Peter Eisert. 2022-02-26. Accurate Human Body Reconstruction for Volumetric Video. https://doi.org/10.1109/ic3d53758.2021.9687256

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