{"id":"https://openalex.org/W2296558186","doi":"https://doi.org/10.1109/cvpr.2012.6247760","title":"KNN matting","display_name":"KNN matting","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2296558186","doi":"https://doi.org/10.1109/cvpr.2012.6247760","mag":"2296558186"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100719529","display_name":"Qifeng Chen","orcid":"https://orcid.org/0000-0003-2199-3948"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qifeng Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038972102","display_name":"Dingzeyu Li","orcid":"https://orcid.org/0000-0002-4222-8105"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dingzeyu Li","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062566088","display_name":"Chi\u2013Keung Tang","orcid":"https://orcid.org/0000-0001-6495-3685"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Keung Tang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"869","last_page":"876"},"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.5968538522720337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5962294936180115},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.5882843136787415},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5538366436958313},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5391038060188293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5096306800842285},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4998743534088135},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4673042297363281},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45134586095809937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4233972728252411},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3692491054534912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33779633045196533},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08804899454116821},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08652001619338989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968538522720337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5962294936180115},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5882843136787415},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5538366436958313},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5391038060188293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5096306800842285},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4998743534088135},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4673042297363281},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45134586095809937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4233972728252411},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3692491054534912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33779633045196533},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08804899454116821},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08652001619338989},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ust.hk:1783.1-55952","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1063-6919&rft.volume=&rft.issue=&rft.date=2012&rft.spage=&rft.aulast=Chen&rft.aufirst=Qifeng%7C&rft.atitle=KNN%20matting&rft.title=Proceedings%20of%20the%20IEEE%20Conference%20on%20Computer%20Vision%20and%20Pattern%20Recognition%20(CVPR)%2C%2016-21%20June%202012%2C%20Providence%2C%20RI%2C%20USA%2C%20p.869-876","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1575701986","https://openalex.org/W1627400044","https://openalex.org/W2007640671","https://openalex.org/W2017399967","https://openalex.org/W2035772170","https://openalex.org/W2035773017","https://openalex.org/W2044673646","https://openalex.org/W2077604257","https://openalex.org/W2103917701","https://openalex.org/W2109815552","https://openalex.org/W2117440748","https://openalex.org/W2120978234","https://openalex.org/W2134019950","https://openalex.org/W2138834358","https://openalex.org/W2169040970","https://openalex.org/W2293194425","https://openalex.org/W2293562288","https://openalex.org/W2293703294","https://openalex.org/W2296349909","https://openalex.org/W2541775796","https://openalex.org/W3168155630","https://openalex.org/W6636759986","https://openalex.org/W6675705777","https://openalex.org/W6729097550"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W1971174658","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2099195351","https://openalex.org/W2028665553","https://openalex.org/W4230315250"],"abstract_inverted_index":{"We":[0],"are":[1,137],"interested":[2],"in":[3,68,89],"a":[4,95,110],"general":[5],"alpha":[6],"matting":[7,25,72,108,135],"approach":[8,45],"for":[9,23],"the":[10,41,49,80,117,147],"simultaneous":[11],"extraction":[12],"of":[13,32,141,146],"multiple":[14],"image":[15,34],"layers;":[16],"each":[17],"layer":[18],"may":[19],"have":[20],"disjoint":[21],"segments":[22],"material":[24],"not":[26,47,54],"limited":[27],"to":[28,62,122,139],"foreground":[29],"mattes":[30],"typical":[31],"natural":[33],"matting.":[35],"The":[36],"estimated":[37],"alphas":[38],"also":[39],"satisfy":[40],"summation":[42],"constraint.":[43],"Our":[44,71],"does":[46,53],"assume":[48],"local":[50],"color-line":[51],"model,":[52],"need":[55],"sophisticated":[56],"sampling":[57],"strategies,":[58],"and":[59,93,97],"generalizes":[60],"well":[61],"any":[63,69],"color":[64],"or":[65,140],"feature":[66],"space":[67],"dimensions.":[70],"technique,":[73],"aptly":[74],"called":[75],"KNN":[76,107],"matting,":[77],"capitalizes":[78],"on":[79,116,129],"nonlocal":[81,91],"principle":[82],"by":[83],"using":[84],"K":[85],"nearest":[86],"neighbors":[87],"(KNN)":[88],"matching":[90],"neighborhoods,":[92],"contributes":[94],"simple":[96],"fast":[98],"algorithm":[99],"giving":[100],"competitive":[101],"results":[102,136],"with":[103],"sparse":[104],"user":[105],"markups.":[106],"has":[109],"closed-form":[111],"solution":[112],"that":[113,133],"can":[114],"leverage":[115],"preconditioned":[118],"conjugate":[119],"gradient":[120],"method":[121],"produce":[123],"an":[124],"efficient":[125],"implementation.":[126],"Experimental":[127],"evaluation":[128],"benchmark":[130],"datasets":[131],"indicates":[132],"our":[134],"comparable":[138],"higher":[142],"quality":[143],"than":[144],"state":[145],"art":[148],"methods.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
