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
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article