An End-to-end Framework for 3D Capture and Human Digitization with a Single RGB Camera

Luiz José Schirmer Silva, Djalma Lúcio Soares da Silva, L. Velho, H. Lopes
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Abstract

We present a low cost and accessible end-to-end framework for 3D modeling and texture capture of Humans using deep neural networks and a single RGB camera. We generate a texture atlas considering a set of multi-view images. We also capture data to generate 3D shape models and finally combine it with the generated textures to obtain a full 3D reconstruction of the human body that can be used in a game engine.
基于RGB相机的三维捕获和人体数字化端到端框架
我们提出了一个低成本和易于访问的端到端框架,用于使用深度神经网络和单个RGB相机进行人体的3D建模和纹理捕获。我们考虑一组多视图图像生成纹理图集。我们还捕获数据以生成3D形状模型,并最终将其与生成的纹理结合起来,以获得可用于游戏引擎的人体的完整3D重建。
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