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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:20241205T090000
DTEND;TZID=Asia/Tokyo:20241205T091100
UID:siggraphasia_SIGGRAPH Asia 2024_sess124_papers_995@linklings.com
SUMMARY:Dynamic Skeletonization via Variational Medial Axis Sampling
DESCRIPTION:Technical Papers\n\nQijia HUANG, Pierre KRAEMER, Sylvain THERY
 , and Dominique BECHMANN (Université de Strasbourg; ICube, CNRS)\n\nWe pre
 sent a novel method for computing a discrete skeleton from a shape represe
 nted by a point cloud or triangle mesh.\nInspired by variational shape app
 roximation, our approach optimizes the partitioning of the input shape by 
 minimizing an error metric defined between medial axis samples (medial sph
 eres) and their corresponding clusters.\nThe metric combines plane-sphere 
 and point-sphere distance terms and the balance between these two terms en
 ables coarse skeletons to capture the main geometric features while denser
  skeletons achieve a uniform distribution of medial axis samples.\nThe sam
 pling of the medial axis is progressively refined through an automatic pro
 cess that splits medial spheres with the highest errors.\nOur method's eff
 iciency also allows users to dynamically add or remove medial axis samples
  locally while the optimization process continuously updates the underlyin
 g partition.\nSkeleton connectivity is efficiently constructed by computin
 g the dual of the optimized shape partition.\nUnlike previous approaches, 
 our method does not rely on a predefined set of candidate spheres or an in
 itial medial axis representation.\n\nRegistration Category: Full Access, F
 ull Access Supporter\n\nLanguage Format: English Language\n\nSession Chair
 : Yotam Gingold (George Mason University)
URL:https://asia.siggraph.org/2024/program/?id=papers_995&sess=sess124
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