Shape retrieval by using multi‐scale angle‐based representation and dynamic label propagation-Reference-Cited by-同舟云学术

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Shape retrieval by using multi‐scale angle‐based representation and dynamic label propagation

Published:2020-11-11 Issue:4 Volume:2 Page:197-204
ISSN:2631-6315
Container-title:IET Cyber-Systems and Robotics
language:en
Short-container-title:IET cyber-systems robotics

Author:

Yu Yanxia¹,Zheng Danchen²^ORCID,Zhao Liang¹,Sun Chuang¹,Li Xiang¹,Zhuang Yan²

Affiliation:

1. CRRC Dalian Locomotive & Rolling Stock Co., Ltd 51 Zhongchang Street, Shahekou District Dalian Liaoning People's Republic of China

2. Faculty of Electronic Information Electrical Engineering Dalian University of Technology 2 Linggong Lu, Ganjinzi District Dalian People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-csr.2020.0044

Reference45 articles.

1. Object matching with hierarchical skeletons

2. WangF.KangL.LiY.: ‘Sketch‐based 3D shape retrieval using convolutional neural networks’.IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2015) Boston MA USA 2015 pp.1875–1883

3. GasparettoA.TorselloA.: ‘A statistical model of Riemannian metric variation for deformable shape analysis’.IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2015) Boston MA USA 2015 pp.1219–1228

4. A bioinformatics approach to 2D shape classification;Bicego M.;Comput. Vis. Image Underst.,2015

5. WoodE.BaltruaitisT.ZhangX.et al.: ‘Rendering of eyes for eye‐shape registration and gaze estimation’.IEEE Int. Conf. on Computer Vision (ICCV 2015) Santiago Chile 2015 pp.3756–3764

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