STDC‐Flow: large displacement flow field estimation using similarity transformation‐based dense correspondence-Reference-Cited by-同舟云学术

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STDC‐Flow: large displacement flow field estimation using similarity transformation‐based dense correspondence

Published:2020-05-31 Issue:5 Volume:14 Page:248-258
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Zhang Congxuan¹²,Chen Zhen¹,Xiong Fan¹,Liu Wen³,Li Ming¹,Ge Liyue¹

Affiliation:

1. Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong UniversityNanchangPeople's Republic of China

2. Institute of Automation, Chinese Academy of SciencesBeijingPeople's Republic of China

3. Department of Physical Therapy and Rehabilitation ScienceUniversity of KansasKansas CityUSA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2019.0321

Reference61 articles.

1. A GPU-Accelerated Deformable Image Registration Algorithm With Applications to Right Ventricular Segmentation

2. Simultaneous Optical Flow and Intensity Estimation from an Event Camera

3. Object Detection and Tracking Under Occlusion for Object-Level RGB-D Video Segmentation

4. Obstacle Detection and Collision Avoidance for a UAV With Complementary Low-Cost Sensors

5. A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences

Cited by 1 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. Large Displacement Optical Flow Estimation Based on Robust Interpolation of Sparse Correspondences;IEEE Access;2020

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