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BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250813T111500
DTEND;TZID=America/Los_Angeles:20250813T112500
UID:siggraph_SIGGRAPH 2025_sess118_papers_1362@linklings.com
SUMMARY:Feature-Aligned Parametrization in Penner Coordinates
DESCRIPTION:Ryan Capouellez and Rodrigo Singh (New York University), Marti
 n Heistermann and David Bommes (University of Bern), and Denis Zorin (New 
 York University)\n\nWe extend Penner-coordinate-based methods for seamless
  parametrizations to surfaces with sharp features to which the parametriza
 tion needs to be aligned.  We describe a two-phase method to efficiently m
 inimize feature constraint residual errors.  We demonstrate that the resul
 ting algorithm works robustly on the Thingi10k dataset, completing the qua
 d mesh generation pipeline.\n\nInterest Area: Research & Education\n\nReco
 rding: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistrat
 ion Category: Full Conference, Virtual Access, Wednesday\n\nSession Chair:
  Mirela Ben-Chen (Technion – Israel Institute of Technology)\n\n
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