Probabilistic approach to finding single and multiple superquadrics

[pattacini]

Robust and Accurate Superquadric Recovery: a Probabilistic Approach^1 seems to be a very nice method that relies on a probabilistic approach rather than on pure optimization to address noise, outliers, and even hierarchical decomposition in multiple superquadrics.

year = {2021}, rating = {5}, title = {{Robust and Accurate Superquadric Recovery: a Probabilistic Approach}}, author = {Liu, Weixiao and Wu, Yuwei and Ruan, Sipu and Chirikjian, Gregory S}, journal = {arXiv}, eprint = {2111.14517}, note = {multiple superquadrics recovery }, keywords = {} }

[pattacini]

Code released in https://github.com/bmlklwx/EMS-superquadric_fitting.