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Conference Paper TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences
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Authors
Soowoong Kim, Minseong Kwon, Junho Choi, Gun Bang, Seungjoon Yang
Issue Date
2025-02
Citation
The Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI) 2025, pp.4311-4319
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1609/aaai.v39i4.32453
Abstract
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 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.
KSP Keywords
Computational complexity, Improved Accuracy, Motion prediction, Motion-compensated, Point clouds, Real-Time applications, Signed distance function, Smooth Motion, bi-directional, cloud-based, grid structure