Real-time 3D reconstruction despite occlusion using motion prediction with OcclusionFusion
Real-time 3D reconstruction despite occlusion using motion prediction with OcclusionFusion
OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction
arXiv paper abstract https://arxiv.org/abs/2203.07977
arXiv PDF paper https://arxiv.org/pdf/2203.07977.pdf
Project page https://wenbin-lin.github.io/OcclusionFusion
RGBD-based real-time dynamic 3D reconstruction suffers from inaccurate inter-frame motion estimation as errors may accumulate with online tracking.
This problem is even more severe for single-view-based systems due to strong occlusions.
... propose OcclusionFusion, a novel method to calculate occlusion-aware 3D motion to guide the reconstruction.
... the motion of visible regions is first estimated and combined with temporal information to infer the motion of the occluded regions
... method computes the confidence of the estimated motion by modeling the network output with a probabilistic model, which alleviates untrustworthy motions and enables robust tracking.
... technique outperforms existing single-view-based real-time methods by a large margin. ... can handle long and challenging motion sequences.
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