Scene-level Tracking and Reconstruction without Object Priors
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Abstract (arXiv)
We present the first real-time system capable of tracking and reconstructing, individually, every visible object in a given scene, without any form of prior on the rigidness of the objects, texture existence, or object category. In contrast with previous methods such as Co-Fusion and MaskFusion that first segment the scene into individual objects and then process each object independently, the proposed method dynamically segments the non-rigid scene as part of the tracking and reconstruction process. When new measurements indicate topology change, reconstructed models are updated in real-time to reflect that change. Our proposed system can provide the live geometry and deformation of all visible objects in a novel scene in real-time, which makes it possible to be integrated seamlessly into numerous existing robotics applications that rely on object models for grasping and manipulation. The capabilities of the proposed system are demonstrated in challenging scenes that contain multiple rigid and non-rigid objects.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 7 of its 24 references that are in the map. First posted on arXiv 7 Oct 2022.
Builds on
7 of 24 references.
References · 7
- 2018MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objectscited by 95
- 2018MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAMcited by 65
- 2017Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objectscited by 47
- 2019SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstructioncited by 31
- 2018Topology-Aware Non-Rigid Point Cloud Registrationcited by 8
- 2020GeoFusion: Geometric Consistency informed Scene Estimation in Dense Cluttercited by 5
- 2020Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstructioncited by 5
Built on by
Citing papers per year: 2023: 2; 2024: 1; 2025: 1.
4 papers.
- 2023Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphscited by 33
- 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenescited by 28
- 2023Mono-STAR: Mono-camera Scene-level Tracking and Reconstructioncited by 4
- 2025Motion Blender Gaussian Splatting for Dynamic Scene Reconstructioncited by 3
- 2025Motion Blender Gaussian Splatting for Dynamic Scene Reconstruction12 Mar 2025
- 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenes22 Mar 2024
- 2023Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs27 Sep 2023
- 2023Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction30 Jan 2023