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DTSTAMP:20240214T070248Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T141500
DTEND;TZID=Australia/Melbourne:20231214T142500
UID:siggraphasia_SIGGRAPH Asia 2023_sess130_papers_561@linklings.com
SUMMARY:Reach For the Spheres: Tangency-aware surface reconstruction of SD
 Fs
DESCRIPTION:Technical Papers\n\nSilvia Sellán (University of Toronto), Chr
 istopher Batty (University of Waterloo), and Oded Stein (University of Sou
 thern California)\n\nSigned distance fields (SDFs) are a widely utilized i
 mplicit surface representation that has applications in various fields suc
 h as computer graphics, computer vision, and applied mathematics. Despite 
 their frequent use, traditional methods such as Marching Cubes and its var
 iants often overlook fundamental properties of SDFs, resulting in mesh rec
 onstructions that exhibit oversmoothing and feature loss. To address this,
  we propose a novel method based on a key insight: each SDF sample corresp
 onds to a spherical region, and the surface represented by the discrete SD
 F has critical properties with respect to each sphere. Leveraging this und
 erstanding, our method formulates an energy that gauges the degree of viol
 ation of tangency constraints by a proposed surface. We then employ a grad
 ient flow that minimizes our energy, starting from an initial triangle mes
 h that encapsulates the surface. The algorithm yields superior reconstruct
 ions, surpassing the quality of previous methods, even with sparsely sampl
 ed SDFs. Our approach provides a more nuanced understanding of SDFs and of
 fers significant improvements in surface reconstruction.\n\nRegistration C
 ategory: Full Access\n\nSession Chair: Baoquan Chen (Peking University)
URL:https://asia.siggraph.org/2023/full-program?id=papers_561&sess=sess130
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