Holistically-Attracted Wireframe Parsing : From Supervised to Self-Supervised Learning
This article presents Holistically-Attracted Wireframe Parsing (HAWP), a method for geometric analysis of 2D images containing wireframes formed by line segments and junctions. HAWP utilizes a parsimonious Holistic Attraction (HAT) field representation that encodes line segments using a closed-form...
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Détails bibliographiques
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 07. Dez., Seite 14727-14744
|
Auteur principal: |
Xue, Nan
(Auteur) |
Autres auteurs: |
Wu, Tianfu,
Bai, Song,
Wang, Fu-Dong,
Xia, Gui-Song,
Zhang, Liangpei,
Torr, Philip H S |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2023
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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Sujets: | Journal Article |