Label transfer between images and 3D shapes via local correspondence encoding
type: Item
instance of: scholarly article
title: Label transfer between images and 3D shapes via local correspondence encoding
author: Jie Zhu
author: Yunfeng Zhang
author: Jie Guo
author: Huikun Liu
author: Mingming Liu
author: Yang Liu
author: Yanwen Guo
published in: Computer Aided Geometric Design
publication date: 2019-11-27T00:00:00Z
Mathematics Subject Classification ID: 68U07
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 7137404
zbMATH Keywords: label transfer
zbMATH Keywords: local correspondence encoding
zbMATH Keywords: bi-directional
zbMATH Keywords: segmentation
describes a project that uses: DeconvNet
describes a project that uses: GrabCut
describes a project that uses: ShapeNet
MaRDI profile type: Publication
full work available at URL: j.cagd.2019.04.009
OpenAlex ID: W2940594937
cites work: A survey on Mesh Segmentation Techniques
cites work: Unsupervised 3D shape segmentation and co-segmentation via deep learning
cites work: Texture aware image segmentation using graph cuts and active contours
Wikidata QID: Q127978021
DOI: 10.1016/J.CAGD.2019.04.009
description: scientific article; zbMATH DE number 7137404