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Volume 8, Issue 4
Research on Non-rigid Structure from Motion: A Literature Review

Yaming Wang, Xiaomeng Yan, Mingfeng Jiang & Junbao Zheng

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 751-760.

Published online: 2015-08

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  • Abstract
Non-rigid Structure from Motion (NRSfM) is a classical computer vision problem. And the main methods used to solve it are in general based on shape models or trajectory models. This paper will provide an overview over kinds of solutions proposed in these researches. It not only gives out the theoretical insights proposed by researchers in recent years, but also discusses them with their pros and cons. At the same time, the progress of the research about this topic is described in detail and its long-term trend is introduced at the end. This paper is very easy to understand, which mainly introduces two practical, everyday models for the NRSfM problem, namely trajectories based model and shape based model. Both of them are based on matrix factorization technology. Inevitably, some relevant optimization methods are mentioned to solve the projection matrix and corresponding coefficients effectively.
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@Article{JFBI-8-751, author = {Yaming Wang, Xiaomeng Yan, Mingfeng Jiang and Junbao Zheng}, title = {Research on Non-rigid Structure from Motion: A Literature Review}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {4}, pages = {751--760}, abstract = {Non-rigid Structure from Motion (NRSfM) is a classical computer vision problem. And the main methods used to solve it are in general based on shape models or trajectory models. This paper will provide an overview over kinds of solutions proposed in these researches. It not only gives out the theoretical insights proposed by researchers in recent years, but also discusses them with their pros and cons. At the same time, the progress of the research about this topic is described in detail and its long-term trend is introduced at the end. This paper is very easy to understand, which mainly introduces two practical, everyday models for the NRSfM problem, namely trajectories based model and shape based model. Both of them are based on matrix factorization technology. Inevitably, some relevant optimization methods are mentioned to solve the projection matrix and corresponding coefficients effectively.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00164}, url = {http://global-sci.org/intro/article_detail/jfbi/4757.html} }
TY - JOUR T1 - Research on Non-rigid Structure from Motion: A Literature Review AU - Yaming Wang, Xiaomeng Yan, Mingfeng Jiang & Junbao Zheng JO - Journal of Fiber Bioengineering and Informatics VL - 4 SP - 751 EP - 760 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00164 UR - https://global-sci.org/intro/article_detail/jfbi/4757.html KW - Non-rigid Structure From Motion KW - Optimization Methods KW - Shape Models KW - Matrix Factorization KW - Trajectory Basis KW - Discrete Cosine Transform AB - Non-rigid Structure from Motion (NRSfM) is a classical computer vision problem. And the main methods used to solve it are in general based on shape models or trajectory models. This paper will provide an overview over kinds of solutions proposed in these researches. It not only gives out the theoretical insights proposed by researchers in recent years, but also discusses them with their pros and cons. At the same time, the progress of the research about this topic is described in detail and its long-term trend is introduced at the end. This paper is very easy to understand, which mainly introduces two practical, everyday models for the NRSfM problem, namely trajectories based model and shape based model. Both of them are based on matrix factorization technology. Inevitably, some relevant optimization methods are mentioned to solve the projection matrix and corresponding coefficients effectively.
Yaming Wang, Xiaomeng Yan, Mingfeng Jiang and Junbao Zheng. (2015). Research on Non-rigid Structure from Motion: A Literature Review. Journal of Fiber Bioengineering and Informatics. 8 (4). 751-760. doi:10.3993/jfbim00164
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