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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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