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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023312Z
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:Technical Papers\n\nDylan Rowe (University of Southern Califor
 nia); Alec Jacobson (University of Toronto, Adobe Research); and Oded Stei
 n (University of Southern California)\n\nThe L1 Hessian energy measures th
 e norm of the Hessian of a function on a surface (and NOT the squared norm
 , as is common with many geometry applications that employ L2).  Its minim
 izers tend to be locally linear with a sparse set of curved ridges.  We in
 troduce a fully-intrinsic discretization of this energy for triangle meshe
 s and show that it can be optimized using off-the-shelf conic program solv
 ers. We apply it to stylization, denoising, interpolation, hole-filling, a
 nd segmentation tasks.  Our L1 approach exhibits multiple important differ
 ences from its more-familiar L2 counterpart: it preserves ridge-like featu
 res in the input, it naturally incorporates a flatness prior for reconstru
 ction, and, at its extreme, it distills its input to an abstract, angular 
 form.\n\nRegistration Category: Full Access, Full Access Supporter\n\nLang
 uage Format: English Language\n\nSession Chair: Mirela Ben-Chen (Technion 
 – Israel Institute of Technology)
URL:https://asia.siggraph.org/2024/program/?id=papers_872&sess=sess133
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