DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor

CVPR 2018 • Tao Yu • Zerong Zheng • Kaiwen Guo • Jianhui Zhao • Qionghai Dai • Hao Li • Gerard Pons-Moll • Yebin Liu

We propose DoubleFusion, a new real-time system that combines volumetric dynamic reconstruction with data-driven template fitting to simultaneously reconstruct detailed geometry, non-rigid motion and the inner human body shape from a single depth camera. One of the key contributions of this method is a double layer representation consisting of a complete parametric body shape inside, and a gradually fused outer surface layer... (read more)

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