Presentation

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Quasi-Medial Distance Field (Q-MDF): A Robust Method for Approximating and Discretizing Neural Medial Axes
SessionMapping, Untangling & Summarizing Surfaces
DescriptionWe introduce an implicit method for medial axis extraction from point clouds and meshes, addressing challenges in noisy or incomplete data. By connecting the signed distance field and the medial field, we reformulate the problem as implicit reconstruction, offering a novel, robust solution for accurate medial axis computation.
Authors
Jiayi Kong
S-Lab Nanyang Technological University
Chen Zong
S-Lab Nanyang Technological University
School of Mathematics Nanjing University of Aeronautics and Astronautics
Jun Luo
Nanyang Technological University
Shiqing Xin
School of Computer Science and Technology Shandong University
Fei Hou
Institute of Software, Chinese Academy of Sciences
University of Chinese Academy of Sciences
Hanqing Jiang
SenseTime Research
Chen Qian
SenseTime Research
Ying He
Nanyang Technological University
Presenter
Jiayi Kong
Nanyang Technological University (NTU)
Event Type
Technical Paper
TimeThursday, 23 July 20264:05pm - 4:15pm PDT
LocationRoom 403 B
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Thursday, 23 July 20263:45pm - 5:15pm PDTRoom 403 B
Keywords
Geometry
Modeling
Registration Categories
Full Conference Supporter
Full Conference
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