Learned Inference of Annual Ring Pattern of Solid Wood

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dc.contributor.authorLarsson, Mariaen_US
dc.contributor.authorIjiri, Takashien_US
dc.contributor.authorShen, I‐Chaoen_US
dc.contributor.authorYoshida, Hironorien_US
dc.contributor.authorShamir, Arielen_US
dc.contributor.authorIgarashi, Takeoen_US
dc.contributor.editorAlliez, Pierreen_US
dc.contributor.editorWimmer, Michaelen_US
dc.date.accessioned2024-12-19T11:16:03Z
dc.date.available2024-12-19T11:16:03Z
dc.date.issued2024
dc.description.abstractWe propose a method for inferring the internal anisotropic volumetric texture of a given wood block from annotated photographs of its external surfaces. The global structure of the annual ring pattern is represented using a continuous spatial scalar field referred to as the growth time field (GTF). First, we train a generic neural model that can represent various GTFs using procedurally generated training data. Next, we fit the generic model to the GTF of a given wood block based on surface annotations. Finally, we convert the GTF to an annual ring field (ARF) revealing the layered pattern and apply neural style transfer to render orientation‐dependent small‐scale features and colors on a cut surface. We show rendered results of various physically cut real wood samples. Our method has physical and virtual applications such as cut‐preview before subtractive fabricating solid wood artifacts and simulating object breaking.en_US
dc.description.number6
dc.description.sectionheadersMajor Revision from EG Symposium on Rendering
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.15074
dc.identifier.pages13 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.15074
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf15074
dc.publisher© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectappearance modelling
dc.subjectmodelling
dc.subjectnatural phenomena
dc.titleLearned Inference of Annual Ring Pattern of Solid Wooden_US
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