3D Understanding of Deformable Linear Objects: Datasets and
  Transferability Benchmark
Bare Luka Žagar Tim Hertel Mingyu Liu Ekim Yurtsever ALois C. Knoll
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.