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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T140000
DTEND;TZID=Asia/Seoul:20221206T153000
UID:siggraphasia_SIGGRAPH Asia 2022_sess156_papers_278@linklings.com
SUMMARY:Computing Medial Axis Transform with Feature Preservation via Rest
 ricted Power Diagram
DESCRIPTION:Technical Communications, Technical Papers, TOG\n\nComputing M
 edial Axis Transform with Feature Preservation via Restricted Power Diagra
 m\n\nWang, Wang, Wang, Guo\n\nWe propose a novel framework for computing t
 he medial axis transform of 3D shapes while preserving their medial featur
 es via restricted power diagram (RPD). Medial features, including external
  features such as the sharp edges and corners of the input mesh surface an
 d internal features such as the seams and junctions of medial axis, are im
 portant shape descriptors both topologically and geometrically. However, e
 xisting medial axis approximation methods fail to capture and preserve the
 m due to the fundamentally under-sampling in the vicinity of medial featur
 es, and the difficulty to build their correct connections. In this paper w
 e use the RPD of medial spheres and its affiliated structures to help solv
 e these challenges. The dual structure of RPD provides the connectivity of
  medial spheres. The surfacic restricted power cell (RPC) of each medial s
 phere provides the tangential surface regions that these spheres have cont
 act with. The connected components (CC) of surfacic RPC give us the classi
 fication of each sphere, to be on a medial sheet, a seam, or a junction. T
 hey allow us to detect insufficient sphere sampling around medial features
  and develop necessary conditions to preserve them. Using this RPD-based f
 ramework, we are able to construct high quality medial meshes with feature
 s preserved. Compared with existing sampling-based or voxel-based methods,
  our method is the first one that can preserve not only external features 
 but also internal features of medial axes.\n\nRegistration Category: FULL 
 ACCESS, ON-DEMAND ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEM
 AND
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_278&sess=sess15
 6
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