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dc.contributor.authorPlumed, Raquel
dc.contributor.authorContero, Manuel
dc.contributor.authorNaya, Ferran
dc.contributor.authorCompany, Pedro
dc.date.accessioned2024-06-04T10:02:44Z
dc.date.available2024-06-04T10:02:44Z
dc.date.issued2024-05-09
dc.identifier.citationPlumed, Raquel, Manuel Contero, Ferran Naya, and Pedro Company. 2024. "A New Approach to Detect Hand-Drawn Dashed Lines in Engineering Sketches" Applied Sciences 14, no. 10: 4023. https://doi.org/10.3390/app14104023ca_CA
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10234/207579
dc.description.abstractSketched drawings sometimes include non-solid lines drawn as sets of consecutive strokes. They represent dashed lines, which are useful for various purposes. Recognizing such dashed lines while parsing drawings is reasonably straightforward if they are outlined with a ruler and compass but becomes challenging when they are hand-drawn. The problem is manageable if the strokes are drawn consecutively so we can leverage the entire sequence. However, it becomes more challenging if they are drawn unordered, and/or we do not have access to the sequence (like in batch vectorization). In this paper, we describe a new approach to identify groups of strokes as depicting single hand-drawn dashed lines. The approach does not use sequence information and is tolerant with irregularities and imprecisions of the strokes. Our goal is to identify hidden lines of sketched engineering line-drawings, which would enable the interpretation of line-drawings with hidden edges, which currently cannot be efficiently vectorized. We speculate that other fields like hand-drawn graph interpretation may also benefit from our approach.ca_CA
dc.format.extent20 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfAppl. Sci. 2024, 14(10), 4023; https://doi.org/10.3390/app14104023ca_CA
dc.relation.uriThe full source code of the algorithm will be freely available on the Geometric Reconstruction Group website (REGEO), http://www.regeo.uji.es, (accessed on 19 April 2024) including examples that demonstrate the capabilities and limitations of the approach.ca_CA
dc.rightsCopyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland.ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjectvectorizationca_CA
dc.subjectdashed linesca_CA
dc.subjecthidden linesca_CA
dc.subjecthand-drawn sketchesca_CA
dc.subjectsketch-based modelingca_CA
dc.titleA New Approach to Detect Hand-Drawn Dashed Lines in Engineering Sketchesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/app14104023
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
dc.subject.ods9. Industria, innovacion e infraestructuraca_CA


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Copyright: © 2024 by the authors.
Licensee MDPI, Basel, Switzerland.
Excepto si se señala otra cosa, la licencia del ítem se describe como: Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland.