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DTSTAMP:20240214T070247Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T140000
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UID:siggraphasia_SIGGRAPH Asia 2023_sess130_papers_176@linklings.com
SUMMARY:Robust Zero Level-Set Extraction from Unsigned Distance Fields Bas
 ed on Double Covering
DESCRIPTION:Technical Papers\n\nFei Hou (Institute of Software, Chinese Ac
 ademy of Sciences; University of Chinese Academy of Sciences); Xuhui Chen 
 and Wencheng Wang (Institute of Software, Chinese Academy Of Sciences; Uni
 versity of Chinese Academy of Sciences); Hong Qin (Stony Brook University)
 ; and Ying He (Nanyang Technological University)\n\nIn this paper, we prop
 ose a new method, called DoubleCoverUDF, for extracting the zero level-set
  from unsigned distance fields (UDFs). DoubleCoverUDF takes a learned UDF 
 and a user-specified parameter r (a small positive real number) as input a
 nd extracts an iso-surface with an iso-value r using the conventional marc
 hing cubes algorithm. We show that the computed iso-surface is the boundar
 y of the r-offset volume of the target zero level-set S, which is an orien
 table manifold, regardless of the topology of S. Next, the algorithm compu
 tes a covering map to project the boundary mesh onto S, preserving the mes
 h's topology and avoiding folding. If S is an orientable manifold surface,
  our algorithm separates the double-layered mesh into a single layer using
  a robust minimum-cut post-processing step. Otherwise, it keeps the double
 -layered mesh as the output. We validate our algorithm by reconstructing 3
 D surfaces of open models and demonstrate its efficacy and effectiveness o
 n synthetic models and benchmark datasets. Our experimental results confir
 m that our method is robust and produces meshes with better quality in ter
 ms of both visual evaluation and quantitative measures than existing UDF-b
 ased methods. The source code is available at https://github.com/jjjkkyz/D
 CUDF.\n\nRegistration Category: Full Access\n\nSession Chair: Baoquan Chen
  (Peking University)
URL:https://asia.siggraph.org/2023/full-program?id=papers_176&sess=sess130
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