4DComplete: A Data-driven Approach to 4D Motion Estimation

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Computer Vision

4DComplete: A Data-driven Approach to 4D Motion Estimation

4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface

We introduce 4dcomplete, a novel data-driven approach that estimates the non-rigid motion for the unobserved geometry using range sensors.

Experiments show that 4dcomplete 1)reconstructs high-resolution volumetric shape and motion field from a partial observation, 2) learns an entangled 4d feature representation that benefits both shape and motion estimation, 3) yields more accurate and natural deformation than classic non-rigid priors such as as-rigid-as-possible (arap)deformation, and 4) generalizes well to unseen objects in real-world sequences.

Authors

Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner

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