Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches

dc.contributor.authorRasoulzadeh, Shervinen_US
dc.contributor.authorWimmer, Michaelen_US
dc.contributor.authorStauss, Philippen_US
dc.contributor.authorKovacic, Ivaen_US
dc.contributor.editorBermano, Amit H.en_US
dc.contributor.editorKalogerakis, Evangelosen_US
dc.date.accessioned2024-04-30T09:07:12Z
dc.date.available2024-04-30T09:07:12Z
dc.date.issued2024
dc.description.abstractWe present Strokes2Surface, an offline geometry reconstruction pipeline that recovers well-connected curve networks from imprecise 4D sketches to bridge concept design and digital modeling stages in architectural design. The input to our pipeline consists of 3D strokes' polyline vertices and their timestamps as the 4th dimension, along with additional metadata recorded throughout sketching. Inspired by architectural sketching practices, our pipeline combines a classifier and two clustering models to achieve its goal. First, with a set of extracted hand-engineered features from the sketch, the classifier recognizes the type of individual strokes between those depicting boundaries (Shape strokes) and those depicting enclosed areas (Scribble strokes). Next, the two clustering models parse strokes of each type into distinct groups, each representing an individual edge or face of the intended architectural object. Curve networks are then formed through topology recovery of consolidated Shape clusters and surfaced using Scribble clusters guiding the cycle discovery. Our evaluation is threefold: We confirm the usability of the Strokes2Surface pipeline in architectural design use cases via a user study, we validate our choice of features via statistical analysis and ablation studies on our collected dataset, and we compare our outputs against a range of reconstructions computed using alternative methods.en_US
dc.description.number2
dc.description.sectionheadersProcedural Modeling and Architectural Design
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.15054
dc.identifier.issn1467-8659
dc.identifier.pages16 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.15054
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf15054
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Artificial intelligence; Computer graphics; Machine learning
dc.subjectComputing methodologies
dc.subjectArtificial intelligence
dc.subjectComputer graphics
dc.subjectMachine learning
dc.titleStrokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketchesen_US
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