Label transfer between images and 3D shapes via local correspondence encoding

DOI10.1016/j.cagd.2019.04.009OpenAlexW2940594937WikidataQ127978021 ScholiaQ127978021MaRDI QIDQ2010304

Yanwen Guo, Yang Liu, Jie Guo, Huikun Liu, Jie Zhu, Yunfeng Zhang, Mingming Liu

Publication date: 27 November 2019

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2019.04.009

zbMATH Keywords

segmentationbi-directionallabel transferlocal correspondence encoding

Mathematics Subject Classification ID

Computer science aspects of computer-aided design (68U07) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• GrabCut
• ShapeNet
• DeconvNet

Cites Work

• Unsupervised 3D shape segmentation and co-segmentation via deep learning
• Texture aware image segmentation using graph cuts and active contours
• A survey on Mesh Segmentation Techniques

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