A Survey on Data-driven Dictionary-based Methods for 3D Modeling

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dc.contributor.authorLescoat, Thibaulten_US
dc.contributor.authorOvsjanikov, Maksen_US
dc.contributor.authorMemari, Pooranen_US
dc.contributor.authorThiery, Jean-Marcen_US
dc.contributor.authorBoubekeur, Tamyen_US
dc.contributor.editorHildebrandt, Klaus and Theobalt, Christianen_US
dc.date.accessioned2018-04-14T18:35:27Z
dc.date.available2018-04-14T18:35:27Z
dc.date.issued2018
dc.description.abstractDictionaries are very useful objects for data analysis, as they enable a compact representation of large sets of objects through the combination of atoms. Dictionary-based techniques have also particularly benefited from the recent advances in machine learning, which has allowed for data-driven algorithms to take advantage of the redundancy in the input dataset and discover relations between objects without human supervision or hard-coded rules. Despite the success of dictionary-based techniques on a wide range of tasks in geometric modeling and geometry processing, the literature is missing a principled state-of-the-art of the current knowledge in this field. To fill this gap, we provide in this survey an overview of data-driven dictionary-based methods in geometric modeling. We structure our discussion by application domain: surface reconstruction, compression, and synthesis. Contrary to previous surveys, we place special emphasis on dictionary-based methods suitable for 3D data synthesis, with applications in geometric modeling and design. Our ultimate goal is to enlight the fact that these techniques can be used to combine the data-driven paradigm with design intent to synthesize new plausible objects with minimal human intervention. This is the main motivation to restrict the scope of the present survey to techniques handling point clouds and meshes, making use of dictionaries whose definition depends on the input data, and enabling shape reconstruction or synthesis through the combination of atoms.en_US
dc.description.documenttypestar
dc.description.number2
dc.description.sectionheadersState of the Art Reports
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13384
dc.identifier.issn1467-8659
dc.identifier.pages577-601
dc.identifier.urihttps://doi.org/10.1111/cgf.13384
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13384
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectShape modeling
dc.subjectMesh models
dc.subjectMesh geometry models
dc.subjectPoint
dc.subjectbased models
dc.subjectShape analysis
dc.titleA Survey on Data-driven Dictionary-based Methods for 3D Modelingen_US
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