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.
CITATION STYLE
Zeng, Z., Jia, X., Shen, L., & Bo, P. (2021). Developable Surface Segmentation for CAD Models. In Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters, SIGGRAPH 2021. Association for Computing Machinery, Inc. https://doi.org/10.1145/3450618.3469167
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