Learning to Predict Superquadric Parameters From Depth Images With Explicit and Implicit Supervision

Reconstruction of 3D space from visual data has always been a significant challenge in the field of computer vision. A popular approach to address this problem can be found in the form of bottom-up reconstruction techniques which try to model complex 3D scenes through a constellation of volumetric p...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Tim Oblak, Jaka Sircelj, Vitomir Struc, Peter Peer, Franc Solina, Ales Jaklic
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2021-01-01
coleção:	IEEE Access
Assuntos:	Superquadrics parametric models reconstruction 3D deep learning convolutional neural networks
Acesso em linha:	https://ieeexplore.ieee.org/document/9274424/
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!