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.

引用

页数：2

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