TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences
This paper introduces a method for efficiently interpolating 3D dynamic sequences using truncated signed distance function (TSDF) volumes. The method calculates bi-directional motions between TSDF volumes of two frames and refines them to reconstruct intermediate frames. Unlike point cloud-based methods, which can suffer from varying and irregular point densities, the uniform and dense grid structure of TSDF offers a consistent framework for estimating the true motion of objects within a scene. In our experiments, the TSDF-based method offers more precise and reliable smooth motion prediction compared to the often error-prone surface depiction in point clouds. Experimental results demonstrate improved accuracy and reduced computational complexity, making it suitable for real-time applications.
Authors
- Seungjoon Yang (ORCID: https://orcid.org/0000-0001-9109-1582)
- Soowoong Kim (ORCID: https://orcid.org/0000-0001-8584-834X)
- Junho Choi (ORCID: https://orcid.org/0000-0002-0339-5429)
- Gun Bang (ORCID: https://orcid.org/0000-0003-4355-599X)
- Minseong Kwon
Institutions
- Electronics and Telecommunications Research Institute (KR)
- Ulsan National Institute of Science and Technology (KR)
Publication Details
- Journal
- Proceedings of the AAAI Conference on Artificial Intelligence
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1609/aaai.v39i4.32453
- Primary Topic
- Advanced Vision and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00