{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:46:21Z","timestamp":1740149181913,"version":"3.37.3"},"reference-count":40,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T00:00:00Z","timestamp":1616976000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008043","name":"Zhejiang Sci-Tech University","doi-asserted-by":"publisher","award":["61672466","61272311","LSZ19F010001","LY17F020034","LZ20F020003"],"award-info":[{"award-number":["61672466","61272311","LSZ19F010001","LY17F020034","LZ20F020003"]}],"id":[{"id":"10.13039\/501100008043","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672466","61272311","LSZ19F010001","LY17F020034","LZ20F020003"],"award-info":[{"award-number":["61672466","61272311","LSZ19F010001","LY17F020034","LZ20F020003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["61672466","61272311","LSZ19F010001","LY17F020034","LZ20F020003"],"award-info":[{"award-number":["61672466","61272311","LSZ19F010001","LY17F020034","LZ20F020003"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["International Journal of Digital Multimedia Broadcasting"],"published-print":{"date-parts":[[2021,3,29]]},"abstract":"<jats:p>Sparse subspace clustering (SSC) is one of the latest methods of dividing data points into subspace joints, which has a strong theoretical guarantee. However, affine matrix learning is not very effective for segmenting multibody nonrigid structure from motion. To improve the segmentation performance and efficiency of the SSC algorithm in segmenting multiple nonrigid motions, we propose an algorithm that deploys the hierarchical clustering to discover the inner connection of data and represents the entire sequence using some of trajectories (in this paper, we refer to these trajectories as the set of anchor trajectories). Only the corresponding positions of the anchor trajectories have nonzero weights. Furthermore, in order to improve the affinity coefficient and strong connection between trajectories in the same subspace, we optimise the weight matrix by integrating the multilayer graphs and good neighbors. The experiments prove that our methods are effective.<\/jats:p>","DOI":"10.1155\/2021\/6686179","type":"journal-article","created":{"date-parts":[[2021,3,30]],"date-time":"2021-03-30T19:20:09Z","timestamp":1617132009000},"page":"1-12","source":"Crossref","is-referenced-by-count":1,"title":["Multibody Nonrigid Structure from Motion Segmentation Based on Sparse Subspace Clustering"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6166-5119","authenticated-orcid":true,"given":"Wenqing","family":"Huang","sequence":"first","affiliation":[{"name":"Computer Vision and Pattern Recognition Laboratory, Zhejiang Sci-Tech University, Xiasha Campus, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7245-6061","authenticated-orcid":true,"given":"Qingfeng","family":"Hu","sequence":"additional","affiliation":[{"name":"Computer Vision and Pattern Recognition Laboratory, Zhejiang Sci-Tech University, Xiasha Campus, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0164-402X","authenticated-orcid":true,"given":"Yaming","family":"Wang","sequence":"additional","affiliation":[{"name":"Lishui University, Lishui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3013-4790","authenticated-orcid":true,"given":"Mingfeng","family":"Jiang","sequence":"additional","affiliation":[{"name":"Computer Vision and Pattern Recognition Laboratory, Zhejiang Sci-Tech University, Xiasha Campus, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","first-page":"41","article-title":"Nonrigid structure from motion in trajectory space","author":"I. Akhter","year":"2008","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"author":"Y. Dai","first-page":"2018","article-title":"A simple prior-free method for non-rigid structure-from-motion factorization","key":"2"},{"doi-asserted-by":"publisher","key":"3","DOI":"10.1016\/j.cviu.2018.01.002"},{"doi-asserted-by":"publisher","key":"4","DOI":"10.1007\/s11263-020-01406-y"},{"doi-asserted-by":"publisher","key":"5","DOI":"10.1109\/tip.2019.2903294"},{"author":"C. You","first-page":"1585","article-title":"Geometric conditions for subspace-sparse recovery","key":"6"},{"doi-asserted-by":"publisher","key":"7","DOI":"10.1016\/j.cviu.2012.09.004"},{"doi-asserted-by":"publisher","key":"8","DOI":"10.1109\/TPAMI.2009.191"},{"key":"9","first-page":"849","article-title":"On spectral clustering: analysis and an algorithm","volume":"2","author":"A. Y. Ng","year":"2001","journal-title":"Advances in neural information processing systems"},{"key":"10","first-page":"1","article-title":"Low-rank sparse subspace for spectral clustering","author":"X. Zhu","year":"2018","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"doi-asserted-by":"publisher","key":"11","DOI":"10.1109\/TSP.2013.2295553"},{"doi-asserted-by":"publisher","key":"12","DOI":"10.1109\/tpami.2019.2913863"},{"doi-asserted-by":"publisher","key":"13","DOI":"10.1007\/978-3-319-10584-0_38"},{"doi-asserted-by":"publisher","key":"14","DOI":"10.1109\/CVPR.2014.200"},{"doi-asserted-by":"publisher","key":"15","DOI":"10.1016\/j.patcog.2017.05.014"},{"doi-asserted-by":"publisher","key":"16","DOI":"10.1109\/3DV.2016.23"},{"doi-asserted-by":"publisher","key":"17","DOI":"10.1007\/s11036-020-01530-6"},{"doi-asserted-by":"publisher","key":"18","DOI":"10.1007\/s11036-019-01233-7"},{"author":"C. Kong","first-page":"1558","article-title":"Deep non-rigid structure from motion","key":"19"},{"doi-asserted-by":"publisher","key":"20","DOI":"10.1007\/978-1-4757-1904-8_7"},{"doi-asserted-by":"publisher","key":"21","DOI":"10.1109\/tpami.2005.244"},{"doi-asserted-by":"publisher","key":"22","DOI":"10.1109\/MSP.2010.939739"},{"doi-asserted-by":"publisher","key":"23","DOI":"10.1109\/TPAMI.2012.88"},{"doi-asserted-by":"publisher","key":"24","DOI":"10.1109\/CVPR.2015.7299092"},{"doi-asserted-by":"publisher","key":"25","DOI":"10.1109\/TPAMI.2015.2453969"},{"doi-asserted-by":"publisher","key":"26","DOI":"10.1007\/978-3-642-33786-4_26"},{"doi-asserted-by":"publisher","key":"27","DOI":"10.1109\/TPAMI.2013.57"},{"doi-asserted-by":"publisher","key":"28","DOI":"10.1214\/13-AOS1199"},{"doi-asserted-by":"publisher","key":"29","DOI":"10.1214\/12-AOS1034"},{"doi-asserted-by":"publisher","key":"30","DOI":"10.1109\/CVPR.2013.62"},{"doi-asserted-by":"publisher","key":"31","DOI":"10.1109\/CVPR.2016.425"},{"doi-asserted-by":"publisher","key":"32","DOI":"10.1109\/TIT.2007.909108"},{"doi-asserted-by":"publisher","key":"33","DOI":"10.1016\/j.cviu.2015.04.003"},{"doi-asserted-by":"publisher","key":"34","DOI":"10.1016\/j.patrec.2013.10.021"},{"doi-asserted-by":"publisher","key":"35","DOI":"10.1109\/CVPR.2016.426"},{"year":"2017","author":"S. Tierney","article-title":"Efficient sparse subspace clustering by nearest neighbour filtering","key":"36"},{"doi-asserted-by":"publisher","key":"37","DOI":"10.1016\/j.sigpro.2019.05.017"},{"doi-asserted-by":"publisher","key":"38","DOI":"10.1109\/CVPR.2019.00914"},{"doi-asserted-by":"publisher","key":"39","DOI":"10.1109\/TGRS.2014.2352857"},{"doi-asserted-by":"publisher","key":"40","DOI":"10.1561\/2200000016"}],"container-title":["International Journal of Digital Multimedia Broadcasting"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdmb\/2021\/6686179.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdmb\/2021\/6686179.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdmb\/2021\/6686179.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,30]],"date-time":"2021-03-30T19:20:16Z","timestamp":1617132016000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/ijdmb\/2021\/6686179\/"}},"subtitle":[],"editor":[{"given":"Marco","family":"Roccetti","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,3,29]]},"references-count":40,"alternative-id":["6686179","6686179"],"URL":"https:\/\/doi.org\/10.1155\/2021\/6686179","relation":{},"ISSN":["1687-7586","1687-7578"],"issn-type":[{"type":"electronic","value":"1687-7586"},{"type":"print","value":"1687-7578"}],"subject":[],"published":{"date-parts":[[2021,3,29]]}}}