A Deformation Field-Based Approach for Expression Processing in Head Motion Correction
2023
发表期刊IEEE ACCESS (IF:3.4[JCR-2023],3.7[5-Year])
ISSN2169-3536
EISSN2169-3536
卷号PP期号:99页码:1-1
发表状态已发表
DOI10.1109/ACCESS.2023.3258999
摘要

It is a routine procedure to use Iterative Closest Point (ICP) algorithm to correct motion in medical imaging of the head. However, the basic assumption of ICP is the rigid body motion, and it is not strictly valid when there is non-rigid motion (facial expression). In this study, we propose a novel method to reduce the adverse effects of facial expressions on head motion estimation. First, we design a network named DFG-Net to generate a deformation field on the RGB domain and compute a confidence map. We then extend the original ICP by embedding the confidence map representing each point's degree of non-rigid motion. Compared to other techniques, our proposed method eliminates the negative effects of facial expression while making the most of pose information. The experiments demonstrate that our approach reduces the position error by 19.23% and orientation error by 36.37% compared to the original ICP algorithm. They also show that our method is robust to variations of expressions. Author

关键词Deep learning Magnetic heads Medical imaging Motion estimation Three dimensional displays Deep learning Deformation field Facial Expressions Features extraction Head motion correction Iterative Closest Points Non-rigid motion Three-dimensional display Tracking
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收录类别EI
语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20231413850442
EI主题词Iterative methods
EI分类号461.1 Biomedical Engineering ; 461.4 Ergonomics and Human Factors Engineering ; 722.2 Computer Peripheral Equipment ; 746 Imaging Techniques ; 921.6 Numerical Methods
原始文献类型Article in Press
来源库IEEE
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/292236
专题信息科学与技术学院
生物医学工程学院_特聘教授组_陈群组
信息科学与技术学院_硕士生
作者单位
1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
2.School of Biomedical Engineering, The Institute of Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Jiaqi Zhao,Jiaxu Zheng,Qun Chen. A Deformation Field-Based Approach for Expression Processing in Head Motion Correction[J]. IEEE ACCESS,2023,PP(99):1-1.
APA Jiaqi Zhao,Jiaxu Zheng,&Qun Chen.(2023).A Deformation Field-Based Approach for Expression Processing in Head Motion Correction.IEEE ACCESS,PP(99),1-1.
MLA Jiaqi Zhao,et al."A Deformation Field-Based Approach for Expression Processing in Head Motion Correction".IEEE ACCESS PP.99(2023):1-1.
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