Learned Inference of Annual Ring Pattern of Solid Wood
Maria Larsson,
Takashi Ijiri,
I‐Chao Shen
et al.
Abstract:We 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. Finall… Show more
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