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X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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BEGIN:VEVENT
DTSTAMP:20260817T171532Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241205T152700
DTEND;TZID=Asia/Tokyo:20241205T154100
UID:siggraphasia_SIGGRAPH Asia 2024_sess133_papers_872@linklings.com
SUMMARY:Sharpening and Sparsifying with Surface Hessians
DESCRIPTION:Dylan Rowe (University of Southern California); Alec Jacobson 
 (University of Toronto, Adobe Research); and Oded Stein (University of Sou
 thern California)\n\nThe L1 Hessian energy measures the norm of the Hessia
 n of a function on a surface (and NOT the squared norm, as is common with 
 many geometry applications that employ L2).  Its minimizers tend to be loc
 ally linear with a sparse set of curved ridges.  We introduce a fully-intr
 insic discretization of this energy for triangle meshes and show that it c
 an be optimized using off-the-shelf conic program solvers. We apply it to 
 stylization, denoising, interpolation, hole-filling, and segmentation task
 s.  Our L1 approach exhibits multiple important differences from its more-
 familiar L2 counterpart: it preserves ridge-like features in the input, it
  naturally incorporates a flatness prior for reconstruction, and, at its e
 xtreme, it distills its input to an abstract, angular form.\n\nRegistratio
 n Category: Full Access, Full Access Supporter\n\nLanguage Format: English
  Language\n\nSession Chair: Mirela Ben-Chen (Technion – Israel Institute o
 f Technology)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_872&sess=sess133
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