Generalizing Shape-from-Template to Topological Changes

dc.contributor.authorManogue, Kevinen_US
dc.contributor.authorSchang, Tomasz M.en_US
dc.contributor.authorKuş, Dilaraen_US
dc.contributor.authorMüller, Jonasen_US
dc.contributor.authorZachow, Stefanen_US
dc.contributor.authorSengupta, Agnivaen_US
dc.contributor.editorComino Trinidad, Marcen_US
dc.contributor.editorMancinelli, Claudioen_US
dc.contributor.editorMaggioli, Filippoen_US
dc.contributor.editorRomanengo, Chiaraen_US
dc.contributor.editorCabiddu, Danielaen_US
dc.contributor.editorGiorgi, Danielaen_US
dc.date.accessioned2025-11-21T07:28:03Z
dc.date.available2025-11-21T07:28:03Z
dc.date.issued2025
dc.description.abstractReconstructing the surfaces of deformable objects from correspondences between a 3D template and a 2D image is well studied under Shape-from-Template (SfT) methods; however, existing approaches break down when topological changes accompany the deformation. We propose a principled extension of SfT that enables reconstruction in the presence of such changes. Our approach is initialized with a classical SfT solution and iteratively adapts the template by partitioning its spatial domain so as to minimize an energy functional that jointly encodes physical plausibility and reprojection consistency. We demonstrate that the method robustly captures a wide range of practically relevant topological events including tears and cuts on bounded 2D surfaces, thereby establishing the first general framework for topological-change-aware SfT. Experiments on both synthetic and real data confirm that our approach consistently outperforms baseline methods.en_US
dc.description.sectionheadersGeometry Processing
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20251322
dc.identifier.isbn978-3-03868-296-7
dc.identifier.issn2617-4855
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/stag.20251322
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/stag20251322
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleGeneralizing Shape-from-Template to Topological Changesen_US
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