Developable Surface Segmentation For CAD Models

被引：0
|
作者：
Zeng, Zheng [1 ]
Jia, Xiaohong [1 ]
Shen, Liyong [2 ]
Bo, Pengbo [3 ]
机构：
[1] Chinese Acad Sci, UCAS, AMSS, KLMM, Beijing, Peoples R China
[2] UCAS, Beijing, Peoples R China
[3] HIT, Harbin, Peoples R China
来源：
SIGGRAPH '21: ACM SIGGRAPH 2021 POSTERS | 2021年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
Developable surface; Segmentation; CAD models;
D O I：
10.1145/3450618.3469167
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a novel method to segment CAD models into developable patches by detecting curve-like features on Gauss images of the corresponding patches. A region-growing approach is employed to detect planar and curved developable patches. The Gauss image of each segmented patch is constrained to be curve-like via principal component analysis and Pearson correlation analysis. Experimental results demonstrate that our approach generates nice results on CAD models with all kinds of developable surfaces.
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页数：2
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