Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction

Research article (IEEE Transactions on Automation Science and Engineering, 2021) · cited 26× · AI/ML
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Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction

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Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiscale-feature-line-extraction-from-raw-point-clouds-based-on-local-surface-variation-and-anisotropic-contraction
MLA “Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiscale-feature-line-extraction-from-raw-point-clouds-based-on-local-surface-variation-and-anisotropic-contraction.
BibTeX @misc{4ortxyz_multiscale-feature-line-extraction-from-raw-point-clouds-based-on-local-surface-variation-and-anisotropic-contraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction}}, year = {2026}, url = {https://4ort.xyz/entity/multiscale-feature-line-extraction-from-raw-point-clouds-based-on-local-surface-variation-and-anisotropic-contraction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction — https://4ort.xyz/entity/multiscale-feature-line-extraction-from-raw-point-clouds-based-on-local-surface-variation-and-anisotropic-contraction (retrieved 2026-05-24)

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