An evaluation of canonical forms for non-rigid 3D shape retrieval
2018
Canonical forms attempt to factor out a non-rigid shape’s pose, giving a pose-neutral shape. This opens up the
possibility of using methods originally designed for rigid shape retrieval for the task of non-rigid shape retrieval.
We extend our recent benchmark for testing canonical form algorithms. Our new benchmark is used to evaluate a
greater number of state-of-the-art canonical forms, on five recent non-rigid retrieval datasets, within two different
retrieval frameworks. A total of fifteen different canonical form methods are compared. We find that the
difference in retrieval accuracy between different canonical form methods is small, but varies significantly across
different datasets. We also find that efficiency is the main difference between the methods.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
35
References
4
Citations
NaN
KQI