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...

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Bibliografske podrobnosti

Principais autores:	Tim Oblak, Jaka Sircelj, Vitomir Struc, Peter Peer, Franc Solina, Ales Jaklic
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2021-01-01
Serija:	IEEE Access
Teme:	Superquadrics parametric models reconstruction 3D deep learning convolutional neural networks
Online dostop:	https://ieeexplore.ieee.org/document/9274424/
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