A semantic segmentation algorithm of 3D model - 文章详情页

作者：

Bai, Yunna (Bai, Yunna.) | Sun, Xiaodong (Sun, Xiaodong.) | Zhang, Hongbin (Zhang, Hongbin.)

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摘要：

This　paper　presents　a　semantic　segmentation　algorithm　under　the　guidance　of　skeleton　of　3D　humanoid　model.　The　algorithm　is　in　two　phase:　(1)　extract　the　skeleton　of　humanoid　model;　(2)　identify　the　feature　points　of　the　extracted　skeleton　and　segment　the　model　according　the　key　point　employ　the　short-cut　rule　of　cross　section.　Due　to　the　complexity　of　calculating　the　general　potential　field,　general　potential　field　skeleton　extraction　algorithm　is　time　consuming.　In　skeleton　extraction　stage　a　curve-skeleton　extraction　algorithm　combining　distance　transform　and　potential　field　is　used　for　less　complexity　computation.　The　algorithm　is　simply　and　easily　operated　and　can　segment　the　humanoid　3d　model　semantically.　©　2011　AICIT.

关键词：

3D modeling Extraction Image segmentation Information management Musculoskeletal system Semantics Three dimensional computer graphics

作者机构：

[ 1 ] [Bai, Yunna]Computer College, Beijing University of Technology, Beijing, China
[ 2 ] [Sun, Xiaodong]Computer College, Beijing University of Technology, Beijing, China
[ 3 ] [Zhang, Hongbin]Computer College, Beijing University of Technology, Beijing, China

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