3D Object Representation Learning : A Set-to-Set Matching Perspective

In this paper, we tackle the 3D object representation learning from the perspective of set-to-set matching. Given two 3D objects, calculating their similarity is formulated as the problem of set-to-set similarity measurement between two set of local patches. As local convolutional features from conv...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 01., Seite 2168-2179
Auteur principal: Yu, Tan (Auteur)
Autres auteurs: Meng, Jingjing, Yang, Ming, Yuan, Junsong
Format: Article en ligne
Langue:English
Publié: 2021
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article