Non‐rigid point set registration by high‐dimensional representation
Author:
Affiliation:
1. Xi'an Institute of Optics and Precision Mechanics of CASNo. 17, Xinxi RoadXi'an710119People's Republic of China
2. University of Chinese Academy of SciencesNo. 17(A), Yuquan RoadBeijing100049People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.1363
Reference25 articles.
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3. 2001 Proc. IEEE Int. Conf. 3‐D Digital Imaging and Modeling Quebec Canada S. Rusinkiewicz M. Levoy Efficient variants of the ICP algorithm 145 152
4. 2016 European Conf. Computer Vision – (ECCV 2016) Amsterdam The Netherlands F Arrigoni B Rossi A. Fusiello Global registration of 3D point sets via LRS decomposition 489 504
5. 2015 IEEE Int. Conf. Image Processing Quebec City Canada S. Ge G. Fan Sequential non‐rigid point registration for 3D human pose tracking 1105 1109
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1. Non-Rigid Registration via Global to Local Transformation;Tehnicki vjesnik - Technical Gazette;2020-02
2. Nonrigid point set registration based on Laplace mixture model with local constraints;Assembly Automation;2019-11-07
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