BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:18871231T000000
DTSTART:19881009T020000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_278@linklings.com
SUMMARY:Computing Medial Axis Transform with Feature Preservation via Rest
 ricted Power Diagram
DESCRIPTION:Technical Papers\n\nComputing Medial Axis Transform with Featu
 re Preservation via Restricted Power Diagram\n\nWang, Wang, Wang, Guo\n\nW
 e propose a novel framework for computing the medial axis transform of 3D 
 shapes while preserving their medial features via restricted power diagram
  (RPD). Medial features, including external features such as the sharp edg
 es and corners of the input mesh surface and internal features such as the
  seams and junctions of medial axis, are important shape descriptors both 
 topologically and geometrically. However, existing medial axis approximati
 on methods fail to capture and preserve them due to the fundamentally unde
 r-sampling in the vicinity of medial features, and the difficulty to build
  their correct connections. In this paper we use the RPD of medial spheres
  and its affiliated structures to help solve these challenges. The dual st
 ructure of RPD provides the connectivity of medial spheres. The surfacic r
 estricted power cell (RPC) of each medial sphere provides the tangential s
 urface regions that these spheres have contact with. The connected compone
 nts (CC) of surfacic RPC give us the classification of each sphere, to be 
 on a medial sheet, a seam, or a junction. They allow us to detect insuffic
 ient sphere sampling around medial features and develop necessary conditio
 ns to preserve them. Using this RPD-based framework, we are able to constr
 uct high quality medial meshes with features preserved. Compared with exis
 ting sampling-based or voxel-based methods, our method is the first one th
 at can preserve not only external features but also internal features of m
 edial axes.\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS,
  EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PER
 SON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_278&sess=sess15
 3
END:VEVENT
END:VCALENDAR