From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

Research output: Contribution to journalArticlepeer-review

Abstract

Ears are a particularly difficult region of the human face to model, not only due to the non-rigid deformations existing between shapes but also to the challenges in processing the retrieved data. The first step towards obtaining a good model is to have complete scans in correspondence, but these usually present a higher amount of occlusions, noise and outliers when compared to most face regions, thus requiring a specific procedure. Therefore, we propose a complete pipeline taking as input unordered 3D point clouds with the aforementioned problems, and producing as output a dataset in correspondence, with completion of the missing data. We provide a comparison of several state-of-the-art registration and shape completion methods, concluding on the best choice for each of the steps.

Original languageEnglish
Pages (from-to)127720-127734
Number of pages15
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

Keywords

  • 3D morphable model
  • ear shape modeling
  • point set registration

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