3D Understanding of Deformable Linear Objects: Datasets and Transferability Benchmark
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Abstract (arXiv)
Deformable linear objects are vastly represented in our everyday lives. It is often challenging even for humans to visually understand them, as the same object can be entangled so that it appears completely different. Examples of deformable linear objects include blood vessels and wiring harnesses, vital to the functioning of their corresponding systems, such as the human body and a vehicle. However, no point cloud datasets exist for studying 3D deformable linear objects. Therefore, we are introducing two point cloud datasets, PointWire and PointVessel. We evaluated state-of-the-art methods on the proposed large-scale 3D deformable linear object benchmarks. Finally, we analyzed the generalization capabilities of these methods by conducting transferability experiments on the PointWire and PointVessel datasets.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 28 of its 58 references that are in the map. First posted on arXiv 13 Oct 2023.
Builds on
28 of 58 references.
References · 28
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16 more
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