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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_180@linklings.com
SUMMARY:RFEPS: Reconstructing Feature-line Equipped Polygonal Surface
DESCRIPTION:Technical Papers\n\nRFEPS: Reconstructing Feature-line Equippe
 d Polygonal Surface\n\nXu, Wang, Dou, Zong, Xin...\n\nFeature lines are im
 portant geometric cues in characterizing the structure of a CAD model. Des
 pite great progress in both explicit reconstruction and implicit reconstru
 ction, it remains a challenging task to reconstruct a polygonal surface eq
 uipped with feature lines, especially when the input point cloud is noisy 
 and lacks faithful normal vectors. In this paper, we develop a multistage 
 algorithm, named RFEPS, to address this challenge. The key steps include (
 1)denoising the point cloud based on the assumption of local planarity, (2
 )identifying the feature-line zone by optimization of discrete optimal tra
 nsport, (3)augmenting the point set so that sufficiently many additional p
 oints are generated on potential geometry edges, and (4)generating a polyg
 onal surface that interpolates the augmented point set based on restricted
  power diagram. We demonstrate through extensive experiments that RFEPS, b
 enefiting from the edge-point augmentation and the feature preserving expl
 icit reconstruction, outperforms state of the art methods in terms of the 
 reconstruction quality, especially in terms of the ability to reconstruct 
 missing feature lines.\n\nRegistration Category: FULL ACCESS, EXPERIENCE P
 LUS ACCESS, EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFor
 mat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_180&sess=sess15
 3
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