3D Parametric Wireframe Extraction Based on Distance Fields

arxiv(2021)

引用 3|浏览25
暂无评分
摘要
We present a pipeline for parametric wireframe extraction from densely sampled point clouds. Our approach processes a scalar distance field that represents proximity to the nearest sharp feature curve. In intermediate stages, it detects corners, constructs curve segmentation, and builds a topological graph fitted to the wireframe. As an output, we produce parametric spline curves that can be edited and sampled arbitrarily. We evaluate our method on 50 complex 3D shapes and compare it to the novel deep learning-based technique, demonstrating superior quality.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络