ICF: A Shape-based 3D Segmentation Method

Koji Kobayashi, Koichi Ito, Takafumi Aoki

研究成果: 書籍の章/レポート/Proceedings会議への寄与査読

抄録

As a new method that can contribute to 3D shape analysis, we propose Incremental Contour Flow (ICF), which divides a 3D object into segments separated by boundary surfaces at narrow parts. ICF utilizes a property of distance transform that generates local maxima in a center of swollen part and bottleneck-like structures in a narrow part. Core of segment is defined as a local maximum layer that has a higher value than surrounding layers in a layer structure generated by converting the distance values to integers. Voxels in a surrounding layer of a core are added to the core incrementally, thereby 3D voxels are grouped to as many segments as the cores. As shown in an example to be discussed, ICF can generates combined soap bubble-like boundary surfaces from a 3D object made from merged three spheres. Since human organs tend to be distinguished by its shape in medical 3D images, ICF can be useful in the medical imaging applications.

本文言語英語
ホスト出版物のタイトルACM SIGGRAPH 2020 Posters, SIGGRAPH 2020
出版社Association for Computing Machinery
ISBN(電子版)9781450379731
DOI
出版ステータス出版済み - 2020 8月 17
イベントACM SIGGRAPH 2020 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2020 - Virtual, Online, 米国
継続期間: 2020 8月 17 → …

出版物シリーズ

名前ACM SIGGRAPH 2020 Posters, SIGGRAPH 2020

会議

会議ACM SIGGRAPH 2020 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2020
国/地域米国
CityVirtual, Online
Period20/8/17 → …

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