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English(EN) Adaptive Interpolatory Curve Subdivision with Learned Local Angles

新的自适应曲线细分方法学习局部角度以改进几何体生成

研究人员开发了一种新的自适应插值曲线细分方法,该方法通过学习局部角度来改进几何体生成。与具有单一全局张力参数的传统方法不同,这种方法确保细分后的曲线通过控制点,同时适应变化的局部几何形状。与现有基线相比,该技术显著降低了最近邻误差,并降低了弯曲能量和切线粗糙度。 AI

影响 改进计算机图形学中使用的几何建模技术,并可能改进其他需要精确曲线生成的领域。

排序理由 该集群包含一篇详细介绍计算机图形学新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的自适应曲线细分方法学习局部角度以改进几何体生成

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该集群包含一篇详细介绍计算机图形学新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Hassan Ugail, Newton Howard ·

    具有学习局部角度的自适应插值曲线细分

    arXiv:2609.17566v1 Announce Type: new Abstract: Curve subdivision is pivotal in computer graphics for generating smooth geometric objects from control polygons. Interpolatory subdivision is especially attractive because the refined curve is guaranteed to pass through the designer…