Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
Chao Li, Xiaohu Guo

TL;DR
This paper introduces a novel volumetric fusion framework with a Non-manifold Volumetric Grid that effectively handles topology changes in 4D dynamic scene reconstruction, improving upon existing methods.
Contribution
The paper proposes a new structure allowing topology updates in volumetric fusion, enabling accurate 4D reconstruction of scenes with changing topology.
Findings
Effective reconstruction of scenes with topology changes
Outperforms state-of-the-art methods in dynamic scene reconstruction
Demonstrates robustness to topology variations
Abstract
Topology change is a challenging problem for 4D reconstruction of dynamic scenes. In the classic volumetric fusion-based framework, a mesh is usually extracted from the TSDF volume as the canonical surface representation to help estimating deformation field. However, the surface and Embedded Deformation Graph (EDG) representations bring conflicts under topology changes since the surface mesh has fixed-connectivity but the deformation field can be discontinuous. In this paper, the classic framework is re-designed to enable 4D reconstruction of dynamic scene under topology changes, by introducing a novel structure of Non-manifold Volumetric Grid to the re-design of both TSDF and EDG, which allows connectivity updates by cell splitting and replication. Experiments show convincing reconstruction results for dynamic scenes of topology changes, as compared to the state-of-the-art methods.
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Taxonomy
TopicsRobotics and Sensor-Based Localization · Advanced Vision and Imaging · 3D Shape Modeling and Analysis
