Developable Surface Segmentation for CAD Models

Authors: Zheng Zeng, Xiaohong Jia, Liyong Shen, Pengbo Bo

Abstract

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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