Latent-Smoothness Nonrigid Structure From Motion by Revisiting Multilinear Factorization

doi:10.1109/TCYB.2018.2849146

	Latent-Smoothness Nonrigid Structure From Motion by Revisiting Multilinear Factorization
	Dong, Qiulei1,2,3 ; Wang, Hong 4
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
	2019-09-01
卷号	49 期号:9 页码:3557-3570
通讯作者	Dong, Qiulei(qldong@nlpr.ia.ac.cn)
摘要	How to implement an effective factorization for nonrigid structure from motion (NRSFM) has attracted much attention in recent years. A straightforward factorization scheme is to multilinearly solve NRSFM in an alternating manner, where each of the unknown variables in NRSFM is updated by fixing the others at each iteration. However, recent works show that most existing multilinear factorization (MLF) methods achieve poorer performances than some state-of-the-art sequential factorization methods. In this paper, we reinvestigate the MLF scheme for improving factorization accuracy, and first propose an MLF method with the only low-rank prior for NRSFM in the presence of missing data. Then, for further improving the performances of such MLF methods, a latent "smoothness" characteristic on unknown 3-D deformable shapes is investigated, which is independent of temporal relations among deformable shapes. Accordingly, a latent-smoothness prior for solving NRSFM is derived from the latent smoothness characteristic, and it is able to effectively recover 3-D deformable shapes from unordered data, which is hard for the traditional temporal-smoothness prior to handle. Finally, a regularized factorization method is proposed by integrating MLF with the explored latent-smoothness prior for further pursuing better performances. Extensive experimental results show the effectiveness of our methods in comparison to eight existing multilinear/sequential methods.
关键词	Multilinear factorization (MLF) nonrigid structure from motion (NRSFM) smoothness
DOI	10.1109/TCYB.2018.2849146
关键词[WOS]	PROCRUSTEAN NORMAL-DISTRIBUTION ; 3D SHAPE ; RECONSTRUCTION ; ALGORITHMS ; ROBUST ; NMF
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61573359] ; National Natural Science Foundation of China[61672489] ; National Natural Science Foundation of China[61333015] ; National Natural Science Foundation of China[61375042] ; National Natural Science Foundation of China[61573359] ; National Natural Science Foundation of China[61672489] ; National Natural Science Foundation of China[61333015] ; National Natural Science Foundation of China[61375042]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000470988800028
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	三维视觉
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/27846
专题	多模态人工智能系统全国重点实验室_机器人视觉
通讯作者	Dong, Qiulei
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Dong, Qiulei,Wang, Hong. Latent-Smoothness Nonrigid Structure From Motion by Revisiting Multilinear Factorization[J]. IEEE TRANSACTIONS ON CYBERNETICS,2019,49(9):3557-3570.
APA	Dong, Qiulei,&Wang, Hong.(2019).Latent-Smoothness Nonrigid Structure From Motion by Revisiting Multilinear Factorization.IEEE TRANSACTIONS ON CYBERNETICS,49(9),3557-3570.
MLA	Dong, Qiulei,et al."Latent-Smoothness Nonrigid Structure From Motion by Revisiting Multilinear Factorization".IEEE TRANSACTIONS ON CYBERNETICS 49.9(2019):3557-3570.