Facial bones segmentation from skull point clouds based on deviation angle

Masy Ari Ulinuha*, Eko Mulyanto Yuniarno, I. Ketut Eddy Purnama, Mochamad Hariadi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Facial bones segmentation is an important step to understanding a skull. In this paper, a method for segmenting facial bones from skull point clouds is proposed. The segmentation is based on the deviation angle features. The method consists of three phases: surface normal estimation, feature extraction, and point clouds classification. The method is applied to skull point clouds derived from computed tomography images. For evaluation, the method is compared with manual segmentation. The method has succeeded in segmenting facial bones with Precision 5 0.836, Recall 5 0.951, and F 5 0.890.

Original languageEnglish
Pages (from-to)98-103
Number of pages6
JournalPollack Periodica
Issue number2
Publication statusPublished - Aug 2021


  • Deviation angle
  • Facial bones
  • Segmentation
  • Skull point clouds


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