Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds

Research article (Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017) · cited 13× · AI/ML
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Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds

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Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds. Retrieved May 24, 2026, from https://4ort.xyz/entity/segmentation-based-multi-scale-edge-extraction-to-measure-the-persistence-of-features-in-unorganized-point-clouds
MLA “Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/segmentation-based-multi-scale-edge-extraction-to-measure-the-persistence-of-features-in-unorganized-point-clouds.
BibTeX @misc{4ortxyz_segmentation-based-multi-scale-edge-extraction-to-measure-the-persistence-of-features-in-unorganized-point-clouds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds}}, year = {2026}, url = {https://4ort.xyz/entity/segmentation-based-multi-scale-edge-extraction-to-measure-the-persistence-of-features-in-unorganized-point-clouds}, note = {Accessed: 2026-05-24}}
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