{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T23:18:43Z","timestamp":1720048723228},"reference-count":22,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition Letters"],"published-print":{"date-parts":[[2015,1]]},"DOI":"10.1016\/j.patrec.2014.09.009","type":"journal-article","created":{"date-parts":[[2014,10,29]],"date-time":"2014-10-29T19:30:18Z","timestamp":1414611018000},"page":"32-39","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["Computing inverse optical flow"],"prefix":"10.1016","volume":"52","author":[{"given":"Javier","family":"S\u00e1nchez","sequence":"first","affiliation":[]},{"given":"Agust\u00edn","family":"Salgado","sequence":"additional","affiliation":[]},{"given":"Nelson","family":"Monz\u00f3n","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.patrec.2014.09.009_bib0001","doi-asserted-by":"crossref","first-page":"1744","DOI":"10.1109\/TPAMI.2011.236","article-title":"Motion detail preserving optical flow estimation","volume":"34","author":"Xu","year":"2012","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patrec.2014.09.009_bib0002","series-title":"IEEE International Conference on Image Processing (ICIP)","first-page":"3845","article-title":"Joint trilateral filtering for multiframe optical flow","author":"Stoll","year":"2013"},{"key":"10.1016\/j.patrec.2014.09.009_bib0003","series-title":"The IEEE International Conference on Computer Vision (ICCV)","first-page":"3344","article-title":"Optical flow via locally adaptive fusion of complementary data costs","author":"Kim","year":"2013"},{"key":"10.1016\/j.patrec.2014.09.009_bib0004","series-title":"IEEE Computer Vision and Pattern Recognition (CVPR)","first-page":"2443","article-title":"Large displacement optical flow from nearest neighbor fields.","author":"Chen","year":"2013"},{"issue":"2","key":"10.1016\/j.patrec.2014.09.009_bib0005","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/s11263-013-0644-x","article-title":"A quantitative analysis of current practices in optical flow estimation and the principles behind them","volume":"106","author":"Sun","year":"2014","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.patrec.2014.09.009_bib0006","series-title":"International Conference on Computer Vision Theory and Applications (VISAPP)","first-page":"268","article-title":"Direct estimation of the backward flow","author":"S\u00e1nchez","year":"2013"},{"key":"10.1016\/j.patrec.2014.09.009_bib0007","series-title":"6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)","first-page":"390","article-title":"An efficient algorithm for estimating the inverse optical flow","author":"S\u00e1nchez","year":"2013"},{"issue":"7","key":"10.1016\/j.patrec.2014.09.009_bib0008","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1109\/42.932742","article-title":"Consistent image registration","volume":"20","author":"Christensen","year":"2001","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.patrec.2014.09.009_bib0009","series-title":"International Conference Information Processing in Medical Imaging (IPMI 2005)","first-page":"493","article-title":"Inverse consistent mapping in 3d deformable image registration: its construction and statistical properties","author":"Leow","year":"2005"},{"issue":"3","key":"10.1016\/j.patrec.2014.09.009_bib0010","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1007\/s11263-007-0041-4","article-title":"Symmetrical dense optical flow estimation with occlusions detection","volume":"75","author":"\u00c1lvarez","year":"2007","journal-title":"Int. J. Comput. Vis."},{"issue":"1","key":"10.1016\/j.patrec.2014.09.009_bib0011","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.neuroimage.2007.07.007","article-title":"A fast diffeomorphic image registration algorithm","volume":"38","author":"Ashburner","year":"2007","journal-title":"NeuroImage"},{"issue":"11","key":"10.1016\/j.patrec.2014.09.009_bib0012","doi-asserted-by":"crossref","first-page":"2720","DOI":"10.1109\/TIP.2007.906277","article-title":"Mumford-shah model for one-to-one edge matching","volume":"16","author":"Han","year":"2007","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patrec.2014.09.009_bib0013","series-title":"Medical Image Computing and Computer-Assisted Intervention (MICCAI 2000)","first-page":"472","article-title":"Symmetrization of the non-rigid registration problem using inversion-invariant energies: application to multiple sclerosis","volume":"1935","author":"Cachier","year":"2000"},{"issue":"4","key":"10.1016\/j.patrec.2014.09.009_bib0014","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1002\/(SICI)1097-0193(200004)9:4<212::AID-HBM3>3.0.CO;2-#","article-title":"Image registration using a symmetric prior\u2014in three-dimensions","volume":"9","author":"Ashburner","year":"2000","journal-title":"Human Brain Mapp."},{"key":"10.1016\/j.patrec.2014.09.009_bib0015","series-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008)","first-page":"1","article-title":"Enforcing stochastic inverse consistency in non-rigid image registration and matching","author":"Yeung","year":"2008"},{"key":"10.1016\/j.patrec.2014.09.009_bib0016","series-title":"International Conference on Computer Aided Systems Theory\u2014EUROCAST 2007","first-page":"676","article-title":"Symmetric optical flow","volume":"4739","author":"\u00c1lvarez","year":"2007"},{"key":"10.1016\/j.patrec.2014.09.009_bib0017","series-title":"IEEE International Conference on Image Processing (ICIP)","first-page":"1233","article-title":"A temporal regularizer for large optical flow estimation","author":"Salgado","year":"2006"},{"key":"10.1016\/j.patrec.2014.09.009_bib0018","series-title":"EUROCAST\u201907: Proceedings of the 11th international conference on Computer aided systems theory","first-page":"709","article-title":"Temporal constraints in large optical flow estimation","author":"Salgado","year":"2007"},{"key":"10.1016\/j.patrec.2014.09.009_bib0019","series-title":"International Conference on Computer Vision Theory and Applications (VISAPP)","first-page":"366","article-title":"Optical flow estimation with consistent spatio-temporal coherence models","author":"S\u00e1nchez","year":"2013"},{"issue":"0)","key":"10.1016\/j.patrec.2014.09.009_bib0020","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.neuroimage.2004.07.010","article-title":"Geodesic estimation for large deformation anatomical shape averaging and interpolation","volume":"23 (Suppl. 1","author":"Avants","year":"2004","journal-title":"NeuroImage"},{"issue":"2","key":"10.1016\/j.patrec.2014.09.009_bib0021","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1006\/cviu.1999.0815","article-title":"Average brain models: a convergence study","volume":"77","author":"Guimond","year":"2000","journal-title":"Comput. Vis. Image Understand."},{"issue":"1","key":"10.1016\/j.patrec.2014.09.009_bib0022","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11263-010-0390-2","article-title":"A database and evaluation methodology for optical flow","volume":"92","author":"Baker","year":"2011","journal-title":"Int. J. Comput. Vis."}],"container-title":["Pattern Recognition Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865514002839?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865514002839?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,9,28]],"date-time":"2018-09-28T04:56:36Z","timestamp":1538110596000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167865514002839"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,1]]},"references-count":22,"alternative-id":["S0167865514002839"],"URL":"https:\/\/doi.org\/10.1016\/j.patrec.2014.09.009","relation":{},"ISSN":["0167-8655"],"issn-type":[{"value":"0167-8655","type":"print"}],"subject":[],"published":{"date-parts":[[2015,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Computing inverse optical flow","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition Letters","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patrec.2014.09.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2014 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}