{"id":"https://openalex.org/W4247548711","doi":"https://doi.org/10.1145/2010324.1964965","title":"Non-rigid dense correspondence with applications for image enhancement","display_name":"Non-rigid dense correspondence with applications for image enhancement","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W4247548711","doi":"https://doi.org/10.1145/2010324.1964965"},"language":"en","primary_location":{"id":"doi:10.1145/2010324.1964965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2010324.1964965","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5062519219","display_name":"Yoav HaCohen","orcid":null},"institutions":[{"id":"https://openalex.org/I121297525","display_name":"Hebrew College","ror":"https://ror.org/05y3p3k12","country_code":"US","type":"education","lineage":["https://openalex.org/I121297525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yoav HaCohen","raw_affiliation_strings":["Hebrew University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebrew University","institution_ids":["https://openalex.org/I121297525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024777042","display_name":"Eli Shechtman","orcid":"https://orcid.org/0000-0002-6783-1795"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eli Shechtman","raw_affiliation_strings":["Adobe Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Systems","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091387733","display_name":"Dan B Goldman","orcid":"https://orcid.org/0000-0001-6330-9804"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan B. Goldman","raw_affiliation_strings":["Adobe Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Systems","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091260693","display_name":"Dani Lischinski","orcid":"https://orcid.org/0000-0002-6191-0361"},"institutions":[{"id":"https://openalex.org/I121297525","display_name":"Hebrew College","ror":"https://ror.org/05y3p3k12","country_code":"US","type":"education","lineage":["https://openalex.org/I121297525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dani Lischinski","raw_affiliation_strings":["Hebrew University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebrew University","institution_ids":["https://openalex.org/I121297525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062519219"],"corresponding_institution_ids":["https://openalex.org/I121297525"],"apc_list":null,"apc_paid":null,"fwci":10.4658,"has_fulltext":false,"cited_by_count":241,"citation_normalized_percentile":{"value":0.98715146,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"30","issue":"4","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998000264167786,"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":0.9994000196456909,"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/deblurring","display_name":"Deblurring","score":0.8583910465240479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6887804269790649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.607542872428894},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5614308714866638},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5522723197937012},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46901601552963257},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44989603757858276},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4276534914970398},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4103263318538666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3761841654777527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36963367462158203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30625832080841064},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.28964143991470337},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26962488889694214}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8583910465240479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6887804269790649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.607542872428894},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5614308714866638},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5522723197937012},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46901601552963257},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44989603757858276},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4276534914970398},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4103263318538666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3761841654777527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36963367462158203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30625832080841064},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.28964143991470337},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26962488889694214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2010324.1964965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2010324.1964965","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1230023165","https://openalex.org/W1607217798","https://openalex.org/W1763426478","https://openalex.org/W1973876049","https://openalex.org/W1975862670","https://openalex.org/W1976730913","https://openalex.org/W1979605824","https://openalex.org/W1980911747","https://openalex.org/W1989417474","https://openalex.org/W2006957355","https://openalex.org/W2030716039","https://openalex.org/W2036682493","https://openalex.org/W2058333183","https://openalex.org/W2101639445","https://openalex.org/W2124351162","https://openalex.org/W2124404372","https://openalex.org/W2129112648","https://openalex.org/W2151103935","https://openalex.org/W2156598602","https://openalex.org/W2157244733","https://openalex.org/W2160451035","https://openalex.org/W2160777052","https://openalex.org/W2294980445","https://openalex.org/W2406442301","https://openalex.org/W2539811286","https://openalex.org/W2997095758","https://openalex.org/W3137059050","https://openalex.org/W4247043502","https://openalex.org/W6677397021","https://openalex.org/W6685069058","https://openalex.org/W6926415524"],"related_works":["https://openalex.org/W3034770329","https://openalex.org/W2089488370","https://openalex.org/W4220831754","https://openalex.org/W2573793821","https://openalex.org/W2963383578","https://openalex.org/W3015323103","https://openalex.org/W4287817146","https://openalex.org/W2004616103","https://openalex.org/W4827971","https://openalex.org/W2965566740"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,51,71,143,148,151,155],"new":[4,52,156],"efficient":[5],"method":[6,23,92,129],"for":[7,26,133,161],"recovering":[8],"reliable":[9],"local":[10],"sets":[11],"of":[12,28,96,127,142],"dense":[13],"correspondences":[14],"between":[15],"two":[16,97],"images":[17,29],"with":[18,69],"some":[19],"shared":[20],"content.":[21],"Our":[22],"is":[24,100,111],"designed":[25],"pairs":[27],"depicting":[30],"similar":[31],"regions":[32,81],"acquired":[33],"by":[34],"different":[35,43,47],"cameras":[36],"and":[37,45,77,105,109,116,158],"lenses,":[38],"under":[39,42],"non-rigid":[40],"transformations,":[41],"lighting,":[44],"over":[46],"backgrounds.":[48],"We":[49,123],"utilize":[50],"coarse-to-fine":[53],"scheme":[54],"in":[55],"which":[56],"nearest-neighbor":[57],"field":[58],"computations":[59],"using":[60,82,130],"Generalized":[61],"PatchMatch":[62],"[Barnes":[63],"et":[64],"al.":[65],"2010]":[66],"are":[67],"interleaved":[68],"fitting":[70],"global":[72],"non-linear":[73],"parametric":[74],"color":[75],"model":[76],"aggregating":[78],"consistent":[79],"matching":[80],"locally":[83],"adaptive":[84],"constraints.":[85],"Compared":[86],"to":[87,114,146,154],"previous":[88],"correspondence":[89],"approaches,":[90],"our":[91,128],"combines":[93],"the":[94,125,139],"best":[95],"worlds:":[98],"It":[99],"dense,":[101],"like":[102,119],"optical":[103],"flow":[104],"stereo":[106],"reconstruction":[107],"methods,":[108],"it":[110],"also":[112],"robust":[113],"geometric":[115],"photometric":[117],"variations,":[118],"sparse":[120],"feature":[121],"matching.":[122],"demonstrate":[124],"usefulness":[126],"three":[131],"applications":[132],"automatic":[134],"example-based":[135],"photograph":[136],"enhancement:":[137],"adjusting":[138],"tonal":[140],"characteristics":[141],"source":[144],"image":[145,162],"match":[147],"reference,":[149],"transferring":[150],"known":[152],"mask":[153],"image,":[157],"kernel":[159],"estimation":[160],"deblurring.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":31},{"year":2016,"cited_by_count":34},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":8}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}