{"id":"https://openalex.org/W2109718456","doi":"https://doi.org/10.1109/iccv.2007.4409036","title":"Optimization and Learning for Registration of Moving Dynamic Textures","display_name":"Optimization and Learning for Registration of Moving Dynamic Textures","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2109718456","doi":"https://doi.org/10.1109/iccv.2007.4409036","mag":"2109718456"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068865316","display_name":"Junzhou Huang","orcid":"https://orcid.org/0000-0002-9548-1227"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Junzhou Huang","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA","Rutgers University, Piscataway#TAB#"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University, Piscataway#TAB#","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000467703","display_name":"Xiaolei Huang","orcid":"https://orcid.org/0000-0003-2338-6535"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaolei Huang","raw_affiliation_strings":["Lehigh University, Bethlehem, PA, USA","Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA. xih206@lehigh.edu"],"affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA. xih206@lehigh.edu","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109600054","display_name":"Dimitris Metaxas","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris Metaxas","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA","Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ 08854, USA. dnm@cs.rutgers.edu"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ 08854, USA. dnm@cs.rutgers.edu","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068865316"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.9737,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78435901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7845891118049622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7167699337005615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6629030108451843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6252750158309937},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5397201180458069},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5391979217529297},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4898044764995575},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48925304412841797},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.46342551708221436},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44513943791389465},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.39677783846855164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3932400941848755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33300143480300903},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31199342012405396}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7845891118049622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7167699337005615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6629030108451843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6252750158309937},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5397201180458069},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5391979217529297},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4898044764995575},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48925304412841797},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.46342551708221436},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44513943791389465},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.39677783846855164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3932400941848755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33300143480300903},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31199342012405396},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2007.4409036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1479894977","https://openalex.org/W1506898119","https://openalex.org/W1539246826","https://openalex.org/W1544324307","https://openalex.org/W1938714998","https://openalex.org/W1998458472","https://openalex.org/W2077786999","https://openalex.org/W2096746506","https://openalex.org/W2099025014","https://openalex.org/W2102741406","https://openalex.org/W2114709961","https://openalex.org/W2116064496","https://openalex.org/W2126739786","https://openalex.org/W2131686571","https://openalex.org/W2138448681","https://openalex.org/W2139092822","https://openalex.org/W2139643804","https://openalex.org/W2140611763","https://openalex.org/W2141546307","https://openalex.org/W2153101587","https://openalex.org/W2156744050","https://openalex.org/W2166063021","https://openalex.org/W2170339527","https://openalex.org/W2912155302","https://openalex.org/W6632608698","https://openalex.org/W6659768834","https://openalex.org/W6677306861","https://openalex.org/W6678578519","https://openalex.org/W6680389264","https://openalex.org/W6680414531","https://openalex.org/W6681057956","https://openalex.org/W6684451488"],"related_works":["https://openalex.org/W2183887509","https://openalex.org/W2972612618","https://openalex.org/W2743128629","https://openalex.org/W1983661653","https://openalex.org/W2147616632","https://openalex.org/W2355987747","https://openalex.org/W34303710","https://openalex.org/W2156235915","https://openalex.org/W2019649412","https://openalex.org/W2905174049"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,24,28,65,82,91,99,106,128,132,136,147,163,181,184,188,206],"problem":[3,33],"of":[4,8,93,101,130,135,198,205],"registering":[5],"a":[6,11,79,121,154,167],"sequence":[7],"images":[9],"in":[10,90,105],"moving":[12,199],"dynamic":[13,29,66,83,189,200],"texture":[14,30,67,84,190],"video.":[15],"This":[16,32,125],"involves":[17],"optimization":[18],"with":[19],"respect":[20],"to":[21,40,77,120,140,143],"camera":[22],"motion,":[23],"average":[25,107,123,138,185],"image,":[26,186],"and":[27,37,115,187],"model.":[31,191],"is":[34,158],"highly":[35],"ill-posed":[36],"almost":[38],"impossible":[39],"have":[41],"good":[42],"solutions":[43],"without":[44],"priors.":[45],"In":[46],"this":[47,54],"paper,":[48],"we":[49],"introduce":[50],"powerful":[51],"priors":[52],"for":[53,81],"problem,":[55],"based":[56],"on":[57,194],"two":[58],"simple":[59],"observations:":[60],"1)":[61],"registration":[62,117,156,182],"should":[63,118],"simplify":[64],"model":[68],"while":[69],"preserving":[70],"all":[71,94],"useful":[72],"information.":[73],"It":[74],"motivates":[75],"us":[76,127],"compute":[78],"prior":[80,129],"by":[85,113,160,177],"marginalizing":[86,161],"over":[87,162,180],"specific":[88],"dynamics":[89],"space":[92],"stable":[95],"auto-regressive":[96],"sequences;":[97],"2)":[98],"statistics":[100],"derivative":[102,133],"filter":[103],"responses":[104],"image":[108,139,149],"can":[109],"be":[110,141],"significantly":[111],"changed":[112],"registration,":[114],"better":[116],"lead":[119],"sharper":[122],"image.":[124],"offers":[126],"requiring":[131],"distribution":[134],"estimated":[137],"close":[142],"that":[144],"learned":[145],"from":[146],"input":[148],"sequence.":[150],"With":[151],"these":[152],"priors,":[153],"new":[155],"approach":[157],"proposed":[159,207],"\"nuisance\"":[164],"variables":[165],"under":[166],"Bayesian":[168],"framework.":[169],"And":[170],"superior":[171],"motion":[172],"estimation":[173],"results":[174,193],"are":[175],"obtained":[176],"jointly":[178],"optimizing":[179],"parameters,":[183],"Experimental":[192],"real":[195],"video":[196],"sequences":[197],"textures":[201],"show":[202],"convincing":[203],"performance":[204],"approach.":[208]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}