用数学模型生成带真实内部结节和表面特征的3D木段
Towards synthetic generation of realistic wooden logs
- 基于树木结节生长规律构建数学模型
- 生成结果与真实CT扫描数据匹配度高
- 适合木材工业仿真与智能锯切研究
本文提出一种新型方法，用于合成逼真的3D木段。高效锯木依赖对木段的精确测量及内部结节分布的掌握。虽然计算机断层扫描（CT）能获取结节的准确信息，但在锯木厂环境中通常不可行。一个有前景的替代方案是利用表面测量数据与机器学习预测内部结构，但训练数据不足仍是挑战。本文聚焦于两个核心：树内结节生长建模，以及包含结节外露区域的表面真实感合成。该方法首次实现同时生成木段内部结节与外部表面结构。实验表明，所提数学模型能准确拟合真实CT扫描数据，并生成视觉逼真的木段。
原文摘要 · Abstract (English)
In this work, we propose a novel method to synthetically generate realistic 3D representations of wooden logs. Efficient sawmilling heavily relies on accurate measurement of logs and the distribution of knots inside them. Computed Tomography (CT) can be used to obtain accurate information about the knots but is often not feasible in a sawmill environment. A promising alternative is to utilize surface measurements and machine learning techniques to predict the inner structure of the logs. However, obtaining enough training data remains a challenge. We focus mainly on two aspects of log generation: the modeling of knot growth inside the tree, and the realistic synthesis of the surface including the regions, where the knots reach the surface. This results in the first log synthesis approach capable of generating both the internal knot and external surface structures of wood. We demonstrate that the proposed mathematical log model accurately fits to real data obtained from CT scans and enables the generation of realistic logs.
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