How to Estimate Global Motion Non-Iteratively From a Coarsely Sampled Motion Vector Field-Reference-Cited by-同舟云学术

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How to Estimate Global Motion Non-Iteratively From a Coarsely Sampled Motion Vector Field

Published:2019-12 Issue:12 Volume:29 Page:3729-3742
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Kong Kyeongbo^ORCID,Shin Seungjun^ORCID,Lee Junggi^ORCID,Song Woo-Jin^ORCID

Funder

MSIT (Ministry of Science and ICT), Korea, under the “ICT Consilience Creative program”

IITP

LG Display

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/8926550/08542739.pdf?arnumber=8542739

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Video Global Motion Compensation Based on Affine Inverse Transform Model;Sensors;2023-09-08

2. Combining detailed appearance and multi-scale representation: a structure-context complementary network for human pose estimation;Applied Intelligence;2022-07-19

3. Learning algorithm with noisy labels for video frame classification;Journal of the Society for Information Display;2020-08-25

4. BlockNet: A Deep Neural Network for Block-Based Motion Estimation Using Representative Matching;Symmetry;2020-05-20

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