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X-LIC-LOCATION:Asia/Tokyo
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DTSTART:18871231T000000
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DTSTAMP:20260817T171532Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241205T091100
DTEND;TZID=Asia/Tokyo:20241205T092300
UID:siggraphasia_SIGGRAPH Asia 2024_sess124_papers_823@linklings.com
SUMMARY:Medial Skeletal Diagram: A Generalized Medial Axis Approach for 3D
  Shape Representation
DESCRIPTION:Minghao Guo, Bohan Wang, and Wojciech Matusik (MIT CSAIL)\n\nW
 e propose the Medial Skeletal Diagram, a novel skeletal representation tha
 t tackles the prevailing issues around skeleton sparsity and reconstructio
 n accuracy in existing skeletal representations. Our approach augments the
  continuous elements in the medial axis representation to effectively shif
 t the complexity away from the discrete elements. To that end, we introduc
 e generalized enveloping primitives, an enhancement over the standard prim
 itives in the medial axis, which ensure efficient coverage of intricate lo
 cal features of the input shape and substantially reduce the number of dis
 crete elements required. Moreover, we present a computational framework fo
 r constructing a medial skeletal diagram from an arbitrary closed manifold
  mesh. Our optimization pipeline ensures that the resulting medial skeleta
 l diagram comprehensively covers the input shape with the fewest primitive
 s. Additionally, each optimized primitive undergoes a post-refinement proc
 ess to guarantee an accurate match with the source mesh in both geometry a
 nd tessellation. We validate our approach on a comprehensive benchmark of 
 100 shapes, demonstrating the sparsity of the discrete elements and superi
 or reconstruction accuracy across a variety of cases. Finally, we exemplif
 y the versatility of our representation in downstream applications such as
  shape generation, mesh decomposition, shape optimization, mesh alignment,
  mesh compression, and user-interactive design.\n\nRegistration Category: 
 Full Access, Full Access Supporter\n\nLanguage Format: English Language\n\
 nSession Chair: Yotam Gingold (George Mason University)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_823&sess=sess124
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