{"id":"https://openalex.org/W2296260732","doi":"https://doi.org/10.1109/icip.2015.7350922","title":"A user-friendly interactive image inpainting framework using Laplacian coordinates","display_name":"A user-friendly interactive image inpainting framework using Laplacian coordinates","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296260732","doi":"https://doi.org/10.1109/icip.2015.7350922","mag":"2296260732"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5077785532","display_name":"Wallace Casaca","orcid":"https://orcid.org/0000-0002-1073-9939"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]},{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Wallace Casaca","raw_affiliation_strings":["ICMC, University of S\u00e3o Paulo (USP), S\u00e3o Carlos, Brazil","School of Engineering, Brown University, Providence, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, University of S\u00e3o Paulo (USP), S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"School of Engineering, Brown University, Providence, United States","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064590368","display_name":"Danilo Motta","orcid":"https://orcid.org/0000-0002-3265-6675"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Danilo Motta","raw_affiliation_strings":["ICMC, University of S\u00e3o Paulo (USP), S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, University of S\u00e3o Paulo (USP), S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084203791","display_name":"Gabriel Taubin","orcid":"https://orcid.org/0000-0002-1983-7607"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabriel Taubin","raw_affiliation_strings":["School of Engineering, Brown University, Providence, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Brown University, Providence, United States","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011424640","display_name":"Lu\u00eds Gustavo Nonato","orcid":"https://orcid.org/0000-0002-8514-8033"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luis Gustavo Nonato","raw_affiliation_strings":["ICMC, University of S\u00e3o Paulo (USP), S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, University of S\u00e3o Paulo (USP), S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"862","last_page":"866"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9063122272491455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7199296951293945},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5791807770729065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.566465437412262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4712275266647339},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.45854711532592773},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.44962650537490845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1948709785938263}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9063122272491455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199296951293945},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5791807770729065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.566465437412262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4712275266647339},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.45854711532592773},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.44962650537490845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1948709785938263},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7350922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1507172461","https://openalex.org/W1763426478","https://openalex.org/W1949738082","https://openalex.org/W1988251053","https://openalex.org/W1991981638","https://openalex.org/W1993120651","https://openalex.org/W2008487901","https://openalex.org/W2014686685","https://openalex.org/W2021147920","https://openalex.org/W2057016804","https://openalex.org/W2062618418","https://openalex.org/W2066142371","https://openalex.org/W2104492732","https://openalex.org/W2104962368","https://openalex.org/W2105038642","https://openalex.org/W2110342595","https://openalex.org/W2112281771","https://openalex.org/W2116089221","https://openalex.org/W2123603602","https://openalex.org/W2147901574","https://openalex.org/W2160590800","https://openalex.org/W2164490837","https://openalex.org/W2168878035","https://openalex.org/W6816930349"],"related_works":["https://openalex.org/W2017457812","https://openalex.org/W3178025616","https://openalex.org/W2131831293","https://openalex.org/W2946160871","https://openalex.org/W3035059915","https://openalex.org/W1995073329","https://openalex.org/W2060947339","https://openalex.org/W425542480","https://openalex.org/W49967185","https://openalex.org/W2107727507"],"abstract_inverted_index":{"Image":[0],"inpainting":[1,37,47,57,112,153],"is":[2,39,59],"a":[3,79,110],"challenging":[4],"topic":[5],"in":[6,165,177],"computer":[7],"vision":[8],"that":[9,40,82,114,133,158],"seeks":[10],"to":[11,52,69,85,136,147],"recover":[12],"the":[13,41,46,53,56,72,88,95,101,107,131,143,150,159,178],"natural":[14],"aspect":[15],"of":[16,100,109,142,167],"an":[17],"image":[18,98],"where":[19],"data":[20,51],"has":[21,162],"been":[22],"partially":[23],"damaged":[24],"or":[25],"occluded":[26],"by":[27,35,138],"undesired":[28],"objects.":[29],"A":[30],"common":[31],"drawback":[32],"not":[33],"addressed":[34],"most":[36],"methodologies":[38],"user":[42,127],"must":[43],"manually":[44],"provide":[45],"mask":[48,58],"as":[49,146],"input":[50],"method.":[54],"Selecting":[55],"tedious,":[60],"time":[61],"consuming":[62],"and":[63,123,152,169],"it":[64],"often":[65],"requires":[66],"artistic":[67],"skills":[68],"precisely":[70],"determine":[71],"mask.":[73,90],"In":[74],"this":[75],"work":[76],"we":[77],"design":[78],"new":[80],"tool":[81],"allows":[83],"users":[84],"easily":[86],"select":[87],"desirable":[89],"The":[91,126],"proposed":[92,160],"framework":[93,161],"combines":[94],"high-adherence":[96],"on":[97],"contours":[99],"Laplacian":[102],"Coordinates":[103],"segmentation":[104,151],"approach":[105],"with":[106,130,149],"efficiency":[108],"recent":[111],"technique":[113],"unifies":[115],"anisotropic":[116],"diffusion,":[117],"inner":[118],"product-based":[119],"filling":[120],"order":[121],"mechanism":[122],"exemplar-based":[124],"completion.":[125],"can":[128],"interact":[129],"object":[132,144],"he/she":[134],"intends":[135],"edit":[137],"stroking":[139],"small":[140],"parts":[141],"so":[145],"proceed":[148],"task.":[154],"Our":[155],"comparisons":[156],"show":[157],"good":[163],"performance":[164],"terms":[166],"applicability":[168],"effectiveness":[170],"when":[171],"compared":[172],"against":[173],"other":[174],"existing":[175],"techniques":[176],"literature.":[179]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
